Merge remote-tracking branch 'origin/main' into ochafik/everything-structuredContent

2026-04-17 19:54:00 +02:00 · 2025-12-15 14:52:00 +00:00
parent fcf50bcbf4 792c47442d
commit 12b9395461
41 changed files with 2338 additions and 2421 deletions
--- a/.github/pull_request_template.md
+++ b/.github/pull_request_template.md
@@ -2,6 +2,12 @@

 ## Description

+## Publishing Your Server
+
+**Note: We are no longer accepting PRs to add servers to the README.** Instead, please publish your server to the [MCP Server Registry](https://github.com/modelcontextprotocol/registry) to make it discoverable to the MCP ecosystem.
+
+To publish your server, follow the [quickstart guide](https://github.com/modelcontextprotocol/registry/blob/main/docs/modelcontextprotocol-io/quickstart.mdx). You can browse published servers at [https://registry.modelcontextprotocol.io/](https://registry.modelcontextprotocol.io/).
+
 ## Server Details
 <!-- If modifying an existing server, provide details -->
 - Server: <!-- e.g., filesystem, github -->
--- a/.github/workflows/claude.yml
+++ b/.github/workflows/claude.yml
@@ -32,7 +32,7 @@ jobs:

      - name: Run Claude Code
        id: claude
-        uses: anthropics/claude-code-action@beta
+        uses: anthropics/claude-code-action@v1
        with:
          anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}

@@ -42,10 +42,8 @@ jobs:

          # Trigger when assigned to an issue
          assignee_trigger: "claude"
-          
-          # Allow Claude to run bash
-          # This should be safe given the repo is already public
-          allowed_tools: "Bash"
-          
-          custom_instructions: |
-            If posting a comment to GitHub, give a concise summary of the comment at the top and put all the details in a <details> block.
+
+          claude_args: |
+            --mcp-config .mcp.json
+            --allowedTools "Bash,mcp__mcp-docs,WebFetch"
+            --append-system-prompt "If posting a comment to GitHub, give a concise summary of the comment at the top and put all the details in a <details> block. When working on MCP-related code or reviewing MCP-related changes, use the mcp-docs MCP server to look up the latest protocol documentation. For schema details, reference https://github.com/modelcontextprotocol/modelcontextprotocol/tree/main/schema which contains versioned schemas in JSON (schema.json) and TypeScript (schema.ts) formats."
--- a/.github/workflows/python.yml
+++ b/.github/workflows/python.yml
@@ -80,7 +80,7 @@ jobs:

      - name: Install dependencies
        working-directory: src/${{ matrix.package }}
-        run: uv sync --frozen --all-extras --dev
+        run: uv sync --locked --all-extras --dev

      - name: Run pyright
        working-directory: src/${{ matrix.package }}
--- a/.github/workflows/release.yml
+++ b/.github/workflows/release.yml
@@ -130,7 +130,7 @@ jobs:

      - name: Install dependencies
        working-directory: src/${{ matrix.package }}
-        run: uv sync --frozen --all-extras --dev
+        run: uv sync --locked --all-extras --dev

      - name: Run pyright
        working-directory: src/${{ matrix.package }}
--- a/.github/workflows/typescript.yml
+++ b/.github/workflows/typescript.yml
@@ -41,21 +41,9 @@ jobs:
        working-directory: src/${{ matrix.package }}
        run: npm ci

-      - name: Check if tests exist
-        id: check-tests
-        working-directory: src/${{ matrix.package }}
-        run: |
-          if npm run test --silent 2>/dev/null; then
-            echo "has-tests=true" >> $GITHUB_OUTPUT
-          else
-            echo "has-tests=false" >> $GITHUB_OUTPUT
-          fi
-        continue-on-error: true
-
      - name: Run tests
-        if: steps.check-tests.outputs.has-tests == 'true'
        working-directory: src/${{ matrix.package }}
-        run: npm test
+        run: npm test --if-present

  build:
    needs: [detect-packages, test]
--- a/.gitignore
+++ b/.gitignore
@@ -122,8 +122,9 @@ dist
 # Stores VSCode versions used for testing VSCode extensions
 .vscode-test

-# Jetbrains IDEs
+# IDEs
 .idea/
+.vscode/

 # yarn v2
 .yarn/cache
--- a/.mcp.json
+++ b/.mcp.json
@@ -0,0 +1,8 @@
+{
+  "mcpServers": {
+    "mcp-docs": {
+      "type": "http",
+      "url": "https://modelcontextprotocol.io/mcp"
+    }
+  }
+}
--- a/.vscode/settings.json
+++ b/.vscode/settings.json
@@ -1 +0,0 @@
-{}
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -6,7 +6,9 @@ We accept changes through [the standard GitHub flow model](https://docs.github.c

 ## Server Listings

-We welcome PRs that add links to your servers in the [README.md](./README.md)!
+We are **no longer accepting PRs** to add server links to the README. Please publish your server to the [MCP Server Registry](https://github.com/modelcontextprotocol/registry) instead. Follow the [quickstart guide](https://github.com/modelcontextprotocol/registry/blob/main/docs/modelcontextprotocol-io/quickstart.mdx).
+
+You can browse published servers using the simple UI at [https://registry.modelcontextprotocol.io/](https://registry.modelcontextprotocol.io/).

 ## Server Implementations

@@ -16,10 +18,10 @@ We welcome:
 - **Enhancements that demonstrate MCP protocol features** — We encourage contributions that help reference servers better illustrate underutilized aspects of the MCP protocol beyond just Tools, such as Resources, Prompts, or Roots. For example, adding Roots support to filesystem-server helps showcase this important but lesser-known feature.

 We're more selective about:
- **Other new features** — Especially if they're not crucial to the server's core purpose or are highly opinionated. The existing servers are reference servers meant to inspire the community. If you need specific features, we encourage you to build enhanced versions! We think a diverse ecosystem of servers is beneficial for everyone, and would love to link to your improved server in our README.
+- **Other new features** — Especially if they're not crucial to the server's core purpose or are highly opinionated. The existing servers are reference servers meant to inspire the community. If you need specific features, we encourage you to build enhanced versions and publish them to the [MCP Server Registry](https://github.com/modelcontextprotocol/registry)! We think a diverse ecosystem of servers is beneficial for everyone.

 We don't accept:
- **New server implementations** — We encourage you to publish them yourself, and link to them from the README.
+- **New server implementations** — We encourage you to publish them to the [MCP Server Registry](https://github.com/modelcontextprotocol/registry) instead.

 ## Testing

--- a/README.md
+++ b/README.md
@@ -2,6 +2,9 @@

 This repository is a collection of *reference implementations* for the [Model Context Protocol](https://modelcontextprotocol.io/) (MCP), as well as references to community-built servers and additional resources.

+> [!IMPORTANT]
+> If you are looking for a list of MCP servers, you can browse published servers on [the MCP Registry](https://registry.modelcontextprotocol.io/). The repository served by this README is dedicated to housing just the small number of reference servers maintained by the MCP steering group.
+
 The servers in this repository showcase the versatility and extensibility of MCP, demonstrating how it can be used to give Large Language Models (LLMs) secure, controlled access to tools and data sources.
 Typically, each MCP server is implemented with an MCP SDK:

@@ -16,9 +19,6 @@ Typically, each MCP server is implemented with an MCP SDK:
 - [Swift MCP SDK](https://github.com/modelcontextprotocol/swift-sdk)
 - [TypeScript MCP SDK](https://github.com/modelcontextprotocol/typescript-sdk)

-> [!NOTE]
-> Lists in this README are maintained in alphabetical order to minimize merge conflicts when adding new items.
-
 ## 🌟 Reference Servers

 These servers aim to demonstrate MCP features and the official SDKs.
@@ -51,6 +51,9 @@ The following reference servers are now archived and can be found at [servers-ar

 ## 🤝 Third-Party Servers

+> [!NOTE]
+The server lists in this README are no longer maintained and will eventually be removed.
+
 ### 🎖️ Official Integrations

 Official integrations are maintained by companies building production ready MCP servers for their platforms.
@@ -63,6 +66,7 @@ Official integrations are maintained by companies building production ready MCP
 - <img height="12" width="12" src="https://www.agentql.com/favicon/favicon.png" alt="AgentQL Logo" /> **[AgentQL](https://github.com/tinyfish-io/agentql-mcp)** - Enable AI agents to get structured data from unstructured web with [AgentQL](https://www.agentql.com/).
 - <img height="12" width="12" src="https://agentrpc.com/favicon.ico" alt="AgentRPC Logo" /> **[AgentRPC](https://github.com/agentrpc/agentrpc)** - Connect to any function, any language, across network boundaries using [AgentRPC](https://www.agentrpc.com/).
 - **[Agentset](https://github.com/agentset-ai/mcp-server)** - RAG for your knowledge base connected to [Agentset](https://agentset.ai).
+- <img height="12" width="12" src="https://www.airwallex.com/favicon.ico" alt="Airwallex Logo" /> **[Airwallex Developer](https://www.npmjs.com/package/@airwallex/developer-mcp)** - Empowers AI coding agents with the tools they need to assist developers integrating with [Airwallex APIs](https://www.airwallex.com/docs/api/)
 - <img height="12" width="12" src="https://aiven.io/favicon.ico" alt="Aiven Logo" /> **[Aiven](https://github.com/Aiven-Open/mcp-aiven)** - Navigate your [Aiven projects](https://go.aiven.io/mcp-server) and interact with the PostgreSQL®, Apache Kafka®, ClickHouse® and OpenSearch® services
 - <img height="12" width="12" src="https://www.alation.com/resource-center/download/7p3vnbbznfiw/34FMtBTex5ppvs2hNYa9Fc/c877c37e88e5339878658697c46d2d58/Alation-Logo-Bug-Primary.svg" alt="Alation Logo" /> **[Alation](https://github.com/Alation/alation-ai-agent-sdk)** - Unlock the power of the enterprise Data Catalog by harnessing tools provided by the Alation MCP server.
 - <img height="12" width="12" src="https://i.postimg.cc/5NYw9qjS/alby-icon-head-yellow-500x500.png" alt="Alby Logo" /> **[Alby Bitcoin Payments](https://github.com/getAlby/mcp)** - Connect any bitcoin lightning wallet to your agent to send and receive instant payments globally with your agent.
@@ -88,6 +92,7 @@ Official integrations are maintained by companies building production ready MCP
 - <img height="12" width="12" src="https://apify.com/favicon.ico" alt="Apify Logo" /> **[Apify](https://github.com/apify/apify-mcp-server)** - Use 6,000+ pre-built cloud tools to extract data from websites, e-commerce, social media, search engines, maps, and more
 - <img height="12" width="12" src="https://2052727.fs1.hubspotusercontent-na1.net/hubfs/2052727/cropped-cropped-apimaticio-favicon-1-32x32.png" alt="APIMatic Logo" /> **[APIMatic MCP](https://github.com/apimatic/apimatic-validator-mcp)** - APIMatic MCP Server is used to validate OpenAPI specifications using [APIMatic](https://www.apimatic.io/). The server processes OpenAPI files and returns validation summaries by leveraging APIMatic's API.
 - <img height="12" width="12" src="https://apollo-server-landing-page.cdn.apollographql.com/_latest/assets/favicon.png" alt="Apollo Graph Logo" /> **[Apollo MCP Server](https://github.com/apollographql/apollo-mcp-server/)** - Connect your GraphQL APIs to AI agents
+- <img height="12" width="12" src="https://appium.io/docs/en/latest/assets/images/appium-logo-horiz.png" alt="Appium Logo" /> **[Appium MCP Server](https://github.com/appium/appium-mcp.git)** - MCP server for Mobile Development and Automation | iOS, Android, Simulator, Emulator, and Real Devices 
 - <img height="12" width="12" src="https://developer.aqara.com/favicon.ico" alt="Aqara Logo" /> **[Aqara MCP Server](https://github.com/aqara/aqara-mcp-server/)** - Control  [Aqara](https://www.aqara.com/) smart home devices, query status, execute scenes, and much more using natural language.
 - <img height="12" width="12" src="https://media.licdn.com/dms/image/v2/C4D0BAQEeD7Dxbpadkw/company-logo_200_200/company-logo_200_200/0/1644692667545/archbee_logo?e=2147483647&v=beta&t=lTi9GRIoqzG6jN3kJC26uZWh0q3uiQelsH6mGoq_Wfw" alt="Archbee Logo" /> **[Archbee](https://www.npmjs.com/package/@archbee/mcp)** - Write and publish documentation that becomes the trusted source for instant answers with AI. Stop cobbling tools and use [Archbee](https://www.archbee.com/) — the first complete documentation platform.
 - <img height="12" width="12" src="https://phoenix.arize.com/wp-content/uploads/2023/04/cropped-Favicon-32x32.png" alt="Arize-Phoenix Logo" /> **[Arize Phoenix](https://github.com/Arize-ai/phoenix/tree/main/js/packages/phoenix-mcp)** - Inspect traces, manage prompts, curate datasets, and run experiments using [Arize Phoenix](https://github.com/Arize-ai/phoenix), an open-source AI and LLM observability tool.
@@ -98,6 +103,7 @@ Official integrations are maintained by companies building production ready MCP
 - <img height="12" width="12" src="https://assets.atlan.com/assets/atlan-a-logo-blue-background.png" alt="Atlan Logo" /> **[Atlan](https://github.com/atlanhq/agent-toolkit/tree/main/modelcontextprotocol)** - The Atlan Model Context Protocol server allows you to interact with the [Atlan](https://www.atlan.com/) services through multiple tools.
 - <img height="12" width="12" src="https://www.atlassian.com/favicon.ico" alt="Atlassian Logo" /> **[Atlassian](https://www.atlassian.com/platform/remote-mcp-server)** - Securely interact with Jira work items and Confluence pages, and search across both.
 - <img height="12" width="12" src="https://res.oafimg.cn/-/737b3b3ffed9b19e/logo.png" alt="AtomGit Logo" /> **[AtomGit](https://atomgit.com/atomgit-open-source-ecosystem/atomgit-mcp-server)** - Official AtomGit server for integration with repository management, PRs, issues, branches, labels, and more.
+- <img height="12" width="12" src="https://atono.io/favicon.ico" alt="Atono Logo" /> **[Atono](https://docs.atono.io/docs/mcp-server-for-atono/)** - Modern product teams connect their AI assistant to Atono to create and update stories, bugs, assignments and fixes.
 - <img height="12" width="12" src="https://resources.audiense.com/hubfs/favicon-1.png" alt="Audiense Logo" /> **[Audiense Insights](https://github.com/AudienseCo/mcp-audiense-insights)** - Marketing insights and audience analysis from [Audiense](https://www.audiense.com/products/audiense-insights) reports, covering demographic, cultural, influencer, and content engagement analysis.
 - <img height="12" width="12" src="https://cdn.auth0.com/website/website/favicons/auth0-favicon.svg" alt="Auth0 Logo" /> **[Auth0](https://github.com/auth0/auth0-mcp-server)** - MCP server for interacting with your Auth0 tenant, supporting creating and modifying actions, applications, forms, logs, resource servers, and more.
 - <img height="12" width="12" src="https://firstorder.ai/favicon_auth.ico" alt="Authenticator App Logo" /> **[Authenticator App · 2FA](https://github.com/firstorderai/authenticator_mcp)** - A secure MCP (Model Context Protocol) server that enables AI agents to interact with the Authenticator App.
@@ -144,6 +150,7 @@ Official integrations are maintained by companies building production ready MCP
 - <img height="12" width="12" src="https://cleanupcrew.ai/favicon-light.png" alt="Cleanup Crew logo" /> **[Cleanup Crew](https://cleanupcrew.ai/install)** - Real-time human support service for non-technical founders using AI coding tools. When AI hits a wall, request instant human help directly from your IDE.
 - <img height="12" width="12" src="https://clickhouse.com/favicon.ico" alt="ClickHouse Logo" /> **[ClickHouse](https://github.com/ClickHouse/mcp-clickhouse)** - Query your [ClickHouse](https://clickhouse.com/) database server.
 - <img height="12" width="12" src="https://brand.clicksend.com/_ipx/s_794x608/img/clicksend_icon_only.svg" alt="ClickSend Logo" /> **[ClickSend](https://github.com/ClickSend/clicksend-mcp-server/)** - This is the official ClickSend MCP Server developed by ClickSend team.
+- <img height="12" width="12" src="https://avatars.githubusercontent.com/u/206176626?s=200&v=4" alt="Clix Logo" /> **[Clix MCP Server](https://github.com/clix-so/clix-mcp-server)** - Clix MCP Server that enables AI agents to provide real-time, trusted Clix documentation and SDK code examples for seamless integrations.
 - <img height="12" width="12" src="https://7463-tcb-advanced-a656fc-1257967285.tcb.qcloud.la/mcp/cloudbase-logo.svg" alt="CloudBase Logo" /> **[CloudBase](https://github.com/TencentCloudBase/CloudBase-AI-ToolKit)** - One-stop backend services for WeChat Mini-Programs and full-stack apps with serverless cloud functions and databases by [Tencent CloudBase](https://tcb.cloud.tencent.com/)
 - <img height="12" width="12" src="https://www.cloudbees.com/favicon.ico" alt="CloudBees Logo" /> **[CloudBees CI](https://docs.cloudbees.com/docs/cloudbees-ci-mcp-router/latest/)** - Enable AI access to your [CloudBees CI](https://www.cloudbees.com/capabilities/continuous-integration) cluster, the Enterprise-grade Jenkins®-based solution. 
 - <img height="12" width="12" src="https://www.cloudbees.com/favicon.ico" alt="CloudBees Logo" /> **[CloudBees Unify](https://docs.cloudbees.com/docs/cloudbees-unify-mcp-server/latest/install/mcp-server)** - Enable AI access to your [CloudBees Unify](https://www.cloudbees.com/unify) environment.
@@ -160,7 +167,7 @@ Official integrations are maintained by companies building production ready MCP
 - <img height="12" width="12" src="https://www.comet.com/favicon.ico" alt="Comet Logo" /> **[Comet Opik](https://github.com/comet-ml/opik-mcp)** - Query and analyze your [Opik](https://github.com/comet-ml/opik) logs, traces, prompts and all other telemetry data from your LLMs in natural language.
 - <img height="12" width="12" src="https://www.commercelayer.io/favicon.ico" alt="Commerce Layer Logo" /> **[Commerce Layer](https://github.com/commercelayer/mcp-server-metrics)** - Interact with Commerce Layer Metrics API.
 - <img height="12" width="12" src="https://platform.composio.dev/favicon.ico" alt="Composio Logo" /> **[Composio](https://docs.composio.dev/docs/mcp-overview#-getting-started)** – Use [Composio](https://composio.dev) to connect 100+ tools. Zero setup. Auth built-in. Made for agents, works for humans.
- <img height="12" width="12" src="https://cdn.prod.website-files.com/6572bd8c27ee5db3eb91f4b3/6572bd8d27ee5db3eb91f55e_favicon-dashflow-webflow-template.svg" alt="OSS Conductor Logo" /> <img height="12" width="12" src="https://orkes.io/icons/icon-48x48.png" alt="Orkes Conductor Logo" />**[Conductor](https://github.com/conductor-oss/conductor-mcp)** - Interact with Conductor (OSS and Orkes) REST APIs.
+- <img height="12" width="12" src="https://cdn.prod.website-files.com/6572bd8c27ee5db3eb91f4b3/6572bd8d27ee5db3eb91f55e_favicon-dashflow-webflow-template.svg" alt="OSS Conductor Logo" /> <img height="12" width="12" src="https://cdn.prod.website-files.com/68c3f472828bb14d0564ad4a/68c3f472828bb14d0564b0ab_Orkes%20Logo%20Symbol.svg" alt="Orkes Conductor Logo" />**[Conductor](https://github.com/conductor-oss/conductor-mcp)** - Interact with Conductor (OSS and Orkes) REST APIs.
 - <img height="12" width="12" src="https://configcat.com/favicon.ico" alt="ConfigCat Logo" /> **[ConfigCat](https://github.com/configcat/mcp-server)** - Enables AI tools to interact with [ConfigCat](https://configcat.com), a feature flag service for teams. Supports managing ConfigCat feature flags, configs, environments, products and organizations. Helps to integrate ConfigCat SDK, implement feature flags and remove zombie (stale) flags.
 - <img height="12" width="12" src="https://www.confluent.io/favicon.ico" alt="Confluent Logo" /> **[Confluent](https://github.com/confluentinc/mcp-confluent)** - Interact with Confluent Kafka and Confluent Cloud REST APIs.
 - <img height="12" width="12" src="https://github.com/mattjoyce.png" alt="Construe Logo" /> **[Construe](https://github.com/mattjoyce/mcp-construe)** - FastMCP server for intelligent Obsidian vault context management with frontmatter filtering, automatic chunking, and secure bidirectional knowledge operations.
@@ -185,12 +192,15 @@ Official integrations are maintained by companies building production ready MCP
 - <img height="12" width="12" src="https://www.deepl.com/img/logo/deepl-logo-blue.svg" alt="DeepL Logo" /> **[DeepL](https://github.com/DeepLcom/deepl-mcp-server)** - Translate or rewrite text with [DeepL](https://deepl.com)'s very own AI models using [the DeepL API](https://developers.deepl.com/docs)
 - <img height="12" width="12" src="https://web-st.oss-cn-shanghai.aliyuncs.com/www/static/icon/bitbug_favicon.ico" alt="DeepQ Logo"> **[DeepQ](https://github.com/shenqingtech/deepq-financial-toolkit-mcp-server)** - DeepQ Technology's Financial Toolkit MCP Server is an Chinese Financial AI toolkit provides comprehensive financial data and analytical tool support for AI large language models.
 - <img height="12" width="12" src="https://defang.io/_next/static/media/defang-icon-dark-colour.25f95b77.svg" alt="Defang Logo" /> **[Defang](https://github.com/DefangLabs/defang/blob/main/src/pkg/mcp/README.md)** - Deploy your project to the cloud seamlessly with the [Defang](https://www.defang.io) platform without leaving your integrated development environment
+- <img height="12" width="12" src="https://deployhq.com/assets/favicon-357ebe39b58f28869358da83948e76e7cadfb0791c97af34abfe346f5e3ef634.png" alt="DeployHQ Logo" /> **[DeployHQ](https://github.com/deployhq/deployhq-mcp-server)** – MCP server for DeployHQ API integration, enabling AI assistants to manage deployments, list projects, and monitor deployment status.
+- <img height="12" width="12" src="https://destinia.com/headers/ilusion/sunrise/dist/favicon/favicon-16x16.png?v=PCJysKzN" alt="Destinia Logo" /> **[Destinia](https://destinia.com/developers)** - Provider tools to search for hotels in Destinia and get listing details.
 - <img height="12" width="12" src="https://detailer.ginylil.com/favicon.ico" alt="Detailer Logo" /> **[Detailer](https://detailer.ginylil.com/)** – Instantly generate rich, AI-powered documentation for your GitHub repositories. Designed for AI agents to gain deep project context before taking action.
 - <img height="12" width="12" src="https://devcycle.com/_next/image?url=%2Fassets%2Fbrand%2FColor-logo-mark.png&w=384&q=75" alt="DevCycle Logo" /> **[DevCycle](https://docs.devcycle.com/cli-mcp/mcp-getting-started)** - Create and monitor feature flags using natural language in your AI coding assistant.
 - <img height="12" width="12" src="https://www.devexpress.com/Content/Core/favicon.ico" alt="DevExpress Logo" /> **[DevExpress](https://docs.devexpress.com/GeneralInformation/405551/help-resources/dev-express-documentation-mcp-server-configure-an-ai-powered-assistant)** Documentation MCP server — Get instant, AI-powered access to 300,000+ help topics on [DevExpress](https://www.devexpress.com) UI Component APIs — right in the AI Coding Assistant/IDE of your choice.
 - <img height="12" width="12" src="https://www.devhub.com/img/upload/favicon-196x196-dh.png" alt="DevHub Logo" /> **[DevHub](https://github.com/devhub/devhub-cms-mcp)** - Manage and utilize website content within the [DevHub](https://www.devhub.com) CMS platform
 - <img height="12" width="12" src="https://devrev.ai/favicon.ico" alt="DevRev Logo" /> **[DevRev](https://github.com/devrev/mcp-server)** - An MCP server to integrate with DevRev APIs to search through your DevRev Knowledge Graph where objects can be imported from diff. Sources listed [here](https://devrev.ai/docs/import#available-sources).
 - <img height="12" width="12" src="https://dexpaprika.com/favicon.ico" alt="DexPaprika Logo" /> **[DexPaprika (CoinPaprika)](https://github.com/coinpaprika/dexpaprika-mcp)** - Access real-time DEX data, liquidity pools, token information, and trading analytics across multiple blockchain networks with [DexPaprika](https://dexpaprika.com) by CoinPaprika.
+- **[Diffusion](https://github.com/diffusiondata/diffusion-mcp-server)** - Connect to any Diffusion server to explore topics, create/update topics, manage sessions, configure features like topic views and metrics, and monitor the server.
 - <img height="12" width="12" src="https://github.com/dolthub/dolt/raw/main/images/Dolt-Logo@3x.svg" alt="Dolt Logo" /> **[Dolt](https://github.com/dolthub/dolt-mcp)** - The official MCP server for version-controlled [Dolt](https://doltdb.com/) databases.
 - <img height="12" width="12" src="https://eu.getdot.ai/favicon.ico" alt="GetDot.ai Logo" /> **[Dot (GetDot.ai)](https://docs.getdot.ai/dot/integrations/mcp)** - Fetch, analyze or visualize data from your favorite database or data warehouse (Snowflake, BigQuery, Redshift, Databricks, Clickhouse, ...) with [Dot](https://getdot.ai), your AI Data Analyst. This remote MCP server is a one-click integration for user that have setup Dot.
 - <img height="12" width="12" src="https://avatars.githubusercontent.com/u/65421071?s=200&v=4" alt="Drata Logo" /> **[Drata](https://drata.com/mcp)** - Get hands-on with our experimental MCP server—bringing real-time compliance intelligence into your AI workflows.
@@ -201,6 +211,7 @@ Official integrations are maintained by companies building production ready MCP
 - <img height="12" width="12" src="https://static.edubase.net/media/brand/favicon/favicon-32x32.png" alt="EduBase Logo" /> **[EduBase](https://github.com/EduBase/MCP)** - Interact with [EduBase](https://www.edubase.net), a comprehensive e-learning platform with advanced quizzing, exam management, and content organization capabilities
 - <img height="12" width="12" src="https://www.elastic.co/favicon.ico" alt="Elasticsearch Logo" /> **[Elasticsearch](https://github.com/elastic/mcp-server-elasticsearch)** - Query your data in [Elasticsearch](https://www.elastic.co/elasticsearch)
 - <img height="12" width="12" src="https://www.elastic.co/favicon.ico" alt="Elasticsearch Memory Logo" /> **[Elasticsearch Memory](https://github.com/fredac100/elasticsearch-memory-mcp)** - Persistent memory with hierarchical categorization, semantic search, and intelligent auto-detection. Install via [PyPI](https://pypi.org/project/elasticsearch-memory-mcp/).
+- <img height="12" width="12" src="https://elasticemail.com/favicon.ico" alt="Elastic Email Logo" /> **[Elastic Email](https://github.com/ElasticEmail/elasticemail-mcp-server)** - Elastic Email MCP Server delivers full-scale email capabilities to the next generation of AI agents and MCP-compatible environments.
 - <img height="12" width="12" src="https://github.com/EmberAGI/arbitrum-vibekit/blob/main/img/Ember%20Black.png?raw=true" alt="Ember AI Logo" /> **[Ember AI](https://docs.emberai.xyz/)** - A unified MCP server that enables AI agents to execute cross-chain DeFi strategies.
 - <img height="12" width="12" src="https://cdn.prod.website-files.com/656eaf5c6da3527caf362363/656ecc07555afac40df4c40e_Facicon.png" alt="Endor Labs Logo" /> **[Endor Labs](https://docs.endorlabs.com/deployment/ide/mcp/)** - Find and fix security risks in you code. Integrate [Endor Labs](https://endorlabs.com) to scan and secure your code from vulnerabilities and secret leaks.
 - <img height="12" width="12" src="https://esignatures.com/favicon.ico" alt="eSignatures Logo" /> **[eSignatures](https://github.com/esignaturescom/mcp-server-esignatures)** - Contract and template management for drafting, reviewing, and sending binding contracts.
@@ -252,6 +263,7 @@ Official integrations are maintained by companies building production ready MCP
 - <img height="12" width="12" src="https://img.alicdn.com/imgextra/i3/O1CN01d9qrry1i6lTNa2BRa_!!6000000004364-2-tps-218-200.png" alt="Hologres Logo" /> **[Hologres](https://github.com/aliyun/alibabacloud-hologres-mcp-server)** - Connect to a [Hologres](https://www.alibabacloud.com/en/product/hologres) instance, get table metadata, query and analyze data.
 - <img height="12" width="12" src="https://brew.sh/assets/img/favicon.ico" alt="Homebrew Logo" /> **[Homebrew](https://docs.brew.sh/MCP-Server)** Allows [Homebrew](https://brew.sh) users to run Homebrew commands locally.
 - <img height="12" width="12" src="https://www.honeycomb.io/favicon.ico" alt="Honeycomb Logo" /> **[Honeycomb](https://github.com/honeycombio/honeycomb-mcp)** Allows [Honeycomb](https://www.honeycomb.io/) Enterprise customers to query and analyze their data, alerts, dashboards, and more; and cross-reference production behavior with the codebase.
+- <img height="12" width="12" src="https://hopx.ai/favicon.ico" alt="HOPX Logo" /> **[HOPX](https://github.com/hopx-ai/mcp)** - Execute Python, JavaScript, Bash, and Go code in isolated cloud containers with sub-150ms startup times. Pre-installed data science libraries (pandas, numpy, matplotlib) for AI-powered data analysis and code testing.
 - <img height="12" width="12" src="https://static.hsinfrastatic.net/StyleGuideUI/static-3.438/img/sprocket/favicon-32x32.png" alt="HubSpot Logo" /> **[HubSpot](https://developer.hubspot.com/mcp)** - Connect, manage, and interact with [HubSpot](https://www.hubspot.com/) CRM data
 - <img height="12" width="12" src="https://huggingface.co/datasets/huggingface/brand-assets/resolve/main/hf-logo.svg" alt="HuggingFace Logo" /> **[Hugging Face](https://huggingface.co/settings/mcp)** - Connect to the Hugging Face Hub APIs programmatically: semantic search for spaces and papers, exploration of datasets and models, and access to all compatible MCP Gradio tool spaces!
 - <img height="12" width="12" src="https://hunter.io/favicon.ico" alt="Hunter Logo" /> **[Hunter](https://github.com/hunter-io/hunter-mcp)** - Interact with the [Hunter API](https://hunter.io) to get B2B data using natural language.
@@ -262,7 +274,7 @@ Official integrations are maintained by companies building production ready MCP
 - <img height="12" width="12" src="https://improvedigital.com/favicon.ico" alt="Improve Digital Icon" /> **[Improve Digital Publisher MCP](https://github.com/azerion/improvedigital-publisher-mcp-server)** - An MCP server that enables publishers to integrate [Improve Digital’s](https://improvedigital.com/) inventory management system with their AI tools or agents.
 - <img height="12" width="12" src="https://www.getinboxzero.com/icon.png" alt="Inbox Zero Logo" /> **[Inbox Zero](https://github.com/elie222/inbox-zero/tree/main/apps/mcp-server)** - AI personal assistant for email [Inbox Zero](https://www.getinboxzero.com)
 - <img height="12" width="12" src="https://www.inflectra.com/Favicon.ico" alt="Inflectra Logo" /> **[Inflectra Spira](https://github.com/Inflectra/mcp-server-spira)** - Connect to your instance of the SpiraTest, SpiraTeam or SpiraPlan application lifecycle management platform by [Inflectra](https://www.inflectra.com)
- <img height="12" width="12" src="https://cdn-web.infobip.com/uploads/2025/05/infobip-symbol-orange.png" alt="Infobip Logo" /> **[Infobip](https://github.com/Inflectra/mcp-server-spira)** - MCP server for integrating [Infobip](https://www.infobip.com/) global cloud communication platform. It equips AI agents with communication superpowers, allowing them to send and receive SMS and RCS messages, interact with WhatsApp and Viber, automate communication workflows, and manage customer data, all in a production-ready environment.
+- <img height="12" width="12" src="https://cdn-web.infobip.com/uploads/2025/05/infobip-symbol-orange.png" alt="Infobip Logo" /> **[Infobip](https://github.com/infobip/mcp)** - MCP server for integrating [Infobip](https://www.infobip.com/) global cloud communication platform. It equips AI agents with communication superpowers, allowing them to send and receive SMS and RCS messages, interact with WhatsApp and Viber, automate communication workflows, and manage customer data, all in a production-ready environment.
 - <img height="12" width="12" src="https://inkeep.com/favicon.ico" alt="Inkeep Logo" /> **[Inkeep](https://github.com/inkeep/mcp-server-python)** - RAG Search over your content powered by [Inkeep](https://inkeep.com)
 - <img height="12" width="12" src="https://integration.app/favicon.ico" alt="Integration App Icon" /> **[Integration App](https://github.com/integration-app/mcp-server)** - Interact with any other SaaS applications on behalf of your customers.
 - <img height="12" width="12" src="https://www.ip2location.io/favicon.ico" alt="IP2Location.io Icon" /> **[IP2Location.io](https://github.com/ip2location/mcp-ip2location-io)** - Interact with IP2Location.io API to retrieve the geolocation information for an IP address.
@@ -274,6 +286,7 @@ Official integrations are maintained by companies building production ready MCP
 - <img height="12" width="12" src="https://kagi.com/favicon.ico" alt="Kagi Logo" /> **[Kagi Search](https://github.com/kagisearch/kagimcp)** - Search the web using Kagi's search API
 - 📅 **[Kalendis](https://github.com/kalendis-dev/kalendis-mcp)** - Generate TypeScript clients and API route handlers for the Kalendis scheduling API across multiple frameworks (Next.js, Express, Fastify, NestJS), streamlining integration of availability management and booking functionality.
 - <img height="12" width="12" src="https://avatars.githubusercontent.com/u/319096?s=48&v=4" alt="Kaltura Logo" /> **[Kaltura](https://github.com/kaltura/mcp-events)** - Manage [Kaltura Event Platform](https://corp.kaltura.com/blog/best-virtual-event-platform/#what-is-a-virtual-event-platform-0). Provide tools and resources for creating, managing, and interacting with Kaltura virtual events.
+- <img height="12" width="12" src="https://kash.click/favicon.ico" alt="Kash Logo" /> **[Kash.click](https://github.com/paracetamol951/caisse-enregistreuse-mcp-server)** - Gives AI access to your sales, clients, orders, tax information, payments, and all the insights on your business
 - <img height="12" width="12" src="https://connection.keboola.com/favicon.ico" alt="Keboola Logo" /> **[Keboola](https://github.com/keboola/keboola-mcp-server)** - Build robust data workflows, integrations, and analytics on a single intuitive platform.
 - <img height="12" width="12" src="https://mcp.onkernel.com/favicon.svg" alt="Kernel Logo" /> **[Kernel](https://github.com/onkernel/kernel-mcp-server)** – Access Kernel's cloud‑based browsers via MCP.
 - <img height="12" width="12" src="https://keywordseverywhere.com/favicon.ico" alt="Keywords Everywhere Logo" /> **[Keywords Everywhere](https://api.keywordseverywhere.com/docs/#/mcp_integration)** – Access SEO data through the official Keywords Everywhere API MCP server.
@@ -349,11 +362,13 @@ Official integrations are maintained by companies building production ready MCP
 - <img height="12" width="12" src="https://neo4j.com/favicon.ico" alt="Neo4j Logo" /> **[Neo4j GDS](https://github.com/neo4j-contrib/gds-agent)** - Neo4j graph data science server with comprehensive graph algorithms that enables complex graph reasoning and Q&A.
 - <img height="12" width="12" src="https://avatars.githubusercontent.com/u/183852044?s=48&v=4" alt="Neon Logo" /> **[Neon](https://github.com/neondatabase/mcp-server-neon)** - Interact with the Neon serverless Postgres platform
 - <img height="12" width="12" src="https://app.usenerve.com/favicon.ico" alt="Nerve Logo" /> **[Nerve](https://github.com/nerve-hq/nerve-mcp-server)** - Search and Act on all your company data across all your SaaS apps via [Nerve](https://www.usenerve.com/)
+- <img height="12" width="12" src="https://avatars.githubusercontent.com/u/370544" alt="NetApp Logo" /> **[NetApp](https://github.com/NetApp/mcp)** - Query metrics, manage volumes, and search across your NetApp systems and services.
 - <img height="12" width="12" src="https://www.netdata.cloud/favicon-32x32.png" alt="Netdata Logo" /> **[Netdata](https://github.com/netdata/netdata/blob/master/src/web/mcp/README.md)** - Discovery, exploration, reporting and root cause analysis using all observability data, including metrics, logs, systems, containers, processes, and network connections
 - <img height="12" width="12" src="https://www.netlify.com/favicon/icon.svg" alt="Netlify Logo" /> **[Netlify](https://docs.netlify.com/welcome/build-with-ai/netlify-mcp-server/)** - Create, build, deploy, and manage your websites with Netlify web platform.
 - <img height="12" width="12" src="https://www.thenile.dev/favicon.ico" alt="Nile Logo" /> **[Nile](https://github.com/niledatabase/nile-mcp-server)** - An MCP server that talks to Nile - Postgres re-engineered for B2B apps. Manage and query databases, tenants, users, auth using LLMs
 - <img height="12" width="12" src="https://avatars.githubusercontent.com/u/208441832?s=400&v=4" alt="Nodit Logo" /> **[Nodit](https://github.com/noditlabs/nodit-mcp-server)** - Official Nodit MCP Server enabling access to multi-chain RPC Nodes and Data APIs for blockchain data.
 - <img height="12" width="12" src="https://app.norman.finance/favicons/favicon-32x32.png" alt="Norman Logo" /> **[Norman Finance](https://github.com/norman-finance/norman-mcp-server)** - MCP server for managing accounting and taxes with Norman Finance.
+- <img height="12" width="12" src="https://notifly.tech/favicon.ico" alt="Notifly Logo" /> **[Notifly](https://github.com/notifly-tech/notifly-mcp-server)** - Notifly MCP Server that enables AI agents to provide real-time, trusted Notifly documentation and SDK code examples for seamless integrations.
 - <img height="12" width="12" src="https://avatars.githubusercontent.com/u/4792552?s=200&v=4" alt="Notion Logo" /> **[Notion](https://github.com/makenotion/notion-mcp-server#readme)** - This project implements an MCP server for the Notion API.
 - <img height="12" width="12" src="https://www.nutrient.io/assets/images/logos/nutrient.svg" alt="Nutrient Logo" /> **[Nutrient](https://github.com/PSPDFKit/nutrient-dws-mcp-server)** - Create, Edit, Sign, Extract Documents using Natural Language
 - <img height="12" width="12" src="https://nx.dev/favicon/favicon.svg" alt="Nx Logo" /> **[Nx](https://github.com/nrwl/nx-console/blob/master/apps/nx-mcp)** - Makes [Nx's understanding](https://nx.dev/features/enhance-AI) of your codebase accessible to LLMs, providing insights into the codebase architecture, project relationships and runnable tasks thus allowing AI to make precise code suggestions.
@@ -367,7 +382,6 @@ Official integrations are maintained by companies building production ready MCP
 - **[OMOP MCP](https://github.com/OHNLP/omop_mcp)** - Map clinical terminology to OMOP concepts using LLMs for healthcare data standardization.
 - <img height="12" width="12" src="https://static.onlyoffice.com/images/favicon.ico" alt="ONLYOFFICE DocSpace" /> **[ONLYOFFICE DocSpace](https://github.com/ONLYOFFICE/docspace-mcp)** - Interact with [ONLYOFFICE DocSpace](https://www.onlyoffice.com/docspace.aspx) API to create rooms, manage files and folders.
 - <img height="12" width="12" src="https://op.gg/favicon.ico" alt="OP.GG Logo" /> **[OP.GG](https://github.com/opgginc/opgg-mcp)** - Access real-time gaming data across popular titles like League of Legends, TFT, and Valorant, offering champion analytics, esports schedules, meta compositions, and character statistics.
- <img height="12" width="12" src="https://www.openfort.io/img/icon.svg" alt="Openfort" /> **[Openfort](https://github.com/openfort-xyz/mcp)** - Connect your AI to Openfort's smart wallet, auth, and project infrastructure.
 - <img height="12" width="12" src="https://open-metadata.org/favicon.ico" alt="OpenMetadata" /> **[OpenMetadata](https://open-metadata.org/mcp)** - The first Enterprise-grade MCP server for metadata
 - <img height="12" width="12" src="https://opensearch.org/wp-content/uploads/2025/01/opensearch_mark_default.svg" alt="OpenSearch Logo" /> **[OpenSearch](https://github.com/opensearch-project/opensearch-mcp-server-py)** -  MCP server that enables AI agents to perform search and analytics use cases on data stored in [OpenSearch](https://opensearch.org/).
 - <img height="12" width="12" src="https://app.opslevel.com/favicon.ico" alt="OpsLevel" /> **[OpsLevel](https://github.com/opslevel/opslevel-mcp)** - Official MCP Server for [OpsLevel](https://www.opslevel.com).
@@ -391,6 +405,7 @@ Official integrations are maintained by companies building production ready MCP
 - <img height="12" width="12" src="https://www.perplexity.ai/favicon.ico" alt="Perplexity Logo" /> **[Perplexity](https://github.com/ppl-ai/modelcontextprotocol)** - An MCP server that connects to Perplexity's Sonar API, enabling real-time web-wide research in conversational AI.
 - <img height="12" width="12" src="https://github.com/mattjoyce.png" alt="Persona Sessions Logo" /> **[Persona Sessions](https://github.com/mattjoyce/mcp-persona-sessions)** - Enable AI assistants to conduct structured, persona-driven sessions including interview preparation, personal reflection, and coaching conversations with built-in timer and evaluation.
 - <img height="12" width="12" src="https://www.pga.com/favicon.ico" alt="PGA Logo" /> **[PGA (Golf)](https://mcp.pga.com)** - PGA's official MCP Server for all things golf-related. Find a coach, play golf, improve your game, and more.
+- <img height="12" width="12" src="https://www.pgyer.com/favicon.ico" alt="PGYER Logo" /> **[PGYER](https://github.com/PGYER/pgyer-mcp-server)** - MCP Server for [PGYER](https://www.pgyer.com/) platform, supports uploading, querying apps, etc.
 - <img height="12" width="12" src="https://avatars.githubusercontent.com/u/54333248" /> **[Pinecone](https://github.com/pinecone-io/pinecone-mcp)** - [Pinecone](https://docs.pinecone.io/guides/operations/mcp-server)'s developer MCP Server assist developers in searching documentation and managing data within their development environment.
 - <img height="12" width="12" src="https://avatars.githubusercontent.com/u/54333248" /> **[Pinecone Assistant](https://github.com/pinecone-io/assistant-mcp)** - Retrieves context from your [Pinecone Assistant](https://docs.pinecone.io/guides/assistant/mcp-server) knowledge base.
 - <img height="12" width="12" src="https://www.pinmeto.com/hubfs/PinMeTo-Favicon.png" alt="PinMeTo logo" /> **[PinMeTo](https://github.com/PinMeTo/pinmeto-location-mcp)** - MCP server that enables users with authorized credentials to unlock their location data.
@@ -399,14 +414,17 @@ Official integrations are maintained by companies building production ready MCP
 - <img height="12" width="12" src="https://playcanvas.com/static-assets/images/icons/favicon.png" alt="PlayCanvas Logo" /> **[PlayCanvas](https://github.com/playcanvas/editor-mcp-server)** - Create interactive 3D web apps with the PlayCanvas Editor.
 - <img height="12" width="12" src="https://playwright.dev/img/playwright-logo.ico" alt="Playwright Logo" /> **[Playwright](https://github.com/microsoft/playwright-mcp)** — Browser automation MCP server using Playwright to run tests, navigate pages, capture screenshots, scrape content, and automate web interactions reliably.
 - <img height="12" width="12" src="https://www.plugged.in/favicon.ico" alt="Plugged.in Logo" /> **[Plugged.in](https://github.com/VeriTeknik/pluggedin-mcp)** - A comprehensive proxy that combines multiple MCP servers into a single MCP. It provides discovery and management of tools, prompts, resources, and templates across servers, plus a playground for debugging when building MCP servers.
+- <img height="12" width="12" src="https://p-link.io/favicon.ico" alt="P-Link.io Logo" /> **[P-Link.io](https://github.com/paracetamol951/P-Link-MCP)** - HTTP 402 Protocol implementation on Solana network. Sending & receiving payments for agents
 - <img height="12" width="12" src="https://polymarket.com/favicon.ico" alt="Polymarket Logo" /> **[Polymarket](https://github.com/ozgureyilmaz/polymarket-mcp)** - Real-time prediction market data from Polymarket - search markets, analyze prices, identify trading opportunities.
+- <img height="12" width="12" src="https://plusai.com/622ffb3448f15ce7a33c6a2b/652d81ccc31a7d50861db0ef_plus_favicon.ico" alt="Plus AI Logo" /> **[Plus AI](https://plusai.com/features/mcp)** - A Model Context Protocol (MCP) server for automatically generating professional PowerPoint and Google Slides presentations using the [Plus AI](https://plusai.com/) presentation API.
 - <img height="12" width="12" src="https://github.com/port-labs/port-mcp-server/blob/main/assets/port_symbol_white.svg" alt="Port Logo" /> **[Port IO](https://github.com/port-labs/port-mcp-server)** - Access and manage your software catalog to improve service quality and compliance.
 - **[PostHog](https://github.com/posthog/mcp)** - Interact with PostHog analytics, feature flags, error tracking and more with the official PostHog MCP server.
 - <img height="12" width="12" src="https://postidentity.com/favicon.ico" alt="PostIdentity Logo" /> **[PostIdentity](https://github.com/PostIdentity/mcp-server)** - Generate AI-powered social media posts from any AI assistant. Manage identities, create posts, track referrals, and browse marketplace templates, powered by [PostIdentity](https://postidentity.com).
 - **[Postman API](https://github.com/postmanlabs/postman-api-mcp)** - Manage your Postman resources using the [Postman API](https://www.postman.com/postman/postman-public-workspace/collection/i2uqzpp/postman-api).
 - <img height="12" width="12" src="https://powerdrill.ai/_next/static/media/powerdrill.0fa27d00.webp" alt="Powerdrill Logo" /> **[Powerdrill](https://github.com/powerdrillai/powerdrill-mcp)** - An MCP server that provides tools to interact with Powerdrill datasets, enabling smart AI data analysis and insights.
 - <img height="12" width="12" src="https://www.pre.dev/predevlogowhitebackground.png" alt="pre.dev Logo" /> **[pre.dev Architect](https://docs.pre.dev/mcp-server)** - 10x your coding agent by keeping it on track with pre.dev.
- <img height="12" width="12" src="https://www.prisma.io/images/favicon-32x32.png" alt="Prisma Logo" /> **[Prisma](https://www.prisma.io/docs/postgres/mcp-server)** - Create and manage Prisma Postgres databases
+- <img height="12" width="12" src="https://devdocs.prestashop-project.org/images/favicon.png" alt="PrestaShop Logo" /> **[PrestaShop.com](https://docs.mcp.prestashop.com/)** - Manage your PrestaShop store with AI Assistant by using the official PrestaShop MCP server.
+- <img height="12" width="12" src="https://www.prisma.io/images/favicon-32x32.png" alt="Prisma Logo" /> **[Prisma](https://www.prisma.io/docs/postgres/integrations/mcp-server)** - Create and manage Prisma Postgres databases
 - <img height="12" width="12" src="https://probe.dev/favicon.ico" alt="Probe.dev Logo" /> **[Probe.dev](https://docs.probe.dev/guides/mcp-integration)** - Comprehensive media analysis and validation powered by [Probe.dev](https://probe.dev). Hosted MCP server with FFprobe, MediaInfo, and Probe Report analysis capabilities.
 - <img height="12" width="12" src="https://framerusercontent.com/images/FGzpihs4MxmSJhyGZ6n7f2Xj0.png" alt="Prode.ai Logo" /> **[ProdE](https://github.com/CuriousBox-AI/ProdE-mcp)** - Your 24/7 production engineer that preserves context across multiple codebases.
 - <img height="12" width="12" src="https://programintegrity.org/wp-content/uploads/2024/07/PIA-Favicon.svg" alt="Program Integrity Alliance (PIA) Logo" /> **[Program Integrity Alliance (PIA)](https://github.com/Program-Integrity-Alliance/pia-mcp-local)** - Local and Hosted MCP servers providing AI-friendly access to U.S. Government Open Datasets. Also available on [Docker MCP Catalog](https://hub.docker.com/mcp/explore?search=PIA). See [our website](https://programintegrity.org) for more details.
@@ -452,7 +470,8 @@ Official integrations are maintained by companies building production ready MCP
 - <img height="12" width="12" src="https://pics.fatwang2.com/56912e614b35093426c515860f9f2234.svg" alt="Search1API Logo" /> **[Search1API](https://github.com/fatwang2/search1api-mcp)** - One API for Search, Crawling, and Sitemaps
 - <img height="12" width="12" src="https://www.searchunify.com/favicon.ico" alt="SearchUnify Logo" /> **[SearchUnify](https://github.com/searchunify/su-mcp/)** - SearchUnify MCP Server (su-mcp) enables seamless integration of SearchUnify with Claude Desktop
 - <img height="12" width="12" src="https://secureframe.com/favicon.ico" alt="Secureframe Logo" /> **[Secureframe](https://github.com/secureframe/secureframe-mcp-server)** - Query security controls, monitor compliance tests, and access audit data across SOC 2, ISO 27001, CMMC, FedRAMP, and other frameworks from [Secureframe](https://secureframe.com).
- <img height="12" width="12" src="https://semgrep.dev/favicon.ico" alt="Semgrep Logo" /> **[Semgrep](https://github.com/semgrep/mcp)** - Enable AI agents to secure code with [Semgrep](https://semgrep.dev/).
+- <img height="12" width="12" src="https://semgrep.dev/favicon.ico" alt="Semgrep Logo" /> **[Semgrep](https://github.com/semgrep/semgrep/blob/develop/cli/src/semgrep/mcp/README.md)** - Enable AI agents to secure code with [Semgrep](https://semgrep.dev/).
+- <img height="12" width="12" src="https://semilattice.ai/favicon.png" alt="Semilattice icon" /> **[Semilattice](https://github.com/semilattice-research/mcp)** - Test content, personalise features, and A/B test decisions with accurate audience prediction.
 - <img height="12" width="12" src="https://avatars.githubusercontent.com/u/187640573?s=48&v=4" alt="Sequa Logo" /> **[Sequa.AI](https://github.com/sequa-ai/sequa-mcp)** - Stop stitching context for Copilot and Cursor. With [Sequa MCP](https://github.com/sequa-ai/sequa-mcp), your AI tools know all your codebases and docs out of the box.
 - <img height="12" width="12" src="https://cdn.prod.website-files.com/6372338e5477e047032b37a5/64f85e6388a2a5c8c9525b4d_favLogo.png" alt="Shortcut Logo" /> **[Shortcut](https://github.com/useshortcut/mcp-server-shortcut)** - Access and implement all of your projects and tasks (Stories) from [Shortcut](https://shortcut.com/).
 - <img height="12" width="12" src="https://simplifier.io/favicon.ico" alt="Simplifier Logo" /> **[Simplifier](https://github.com/simplifier-ag/simplifier-mcp)** - Manage connectors, business objects and more in your [Simplifier](https://simplifier.io/) low code platform.
@@ -465,12 +484,14 @@ Official integrations are maintained by companies building production ready MCP
 - <img height="12" width="12" src="https://learn.microsoft.com/favicon.ico" alt="Microsoft Learn Logo" /> **[SQL Server](https://github.com/Azure-Samples/SQL-AI-samples/tree/main/MssqlMcp)** - Official Microsoft SQL Server MCP<sup>[1](https://devblogs.microsoft.com/azure-sql/introducing-mssql-mcp-server/)</sup>
 - <img height="12" width="12" src="https://www.stackhawk.com/wp-content/uploads/2025/03/icon-512x512-2-150x150.png" alt="StackHawk Logo" /> **[StackHawk](https://github.com/stackhawk/stackhawk-mcp)** - Use [StackHawk](https://www.stackhawk.com/) to test for and FIX security problems in your code or vibe coded app.
 - <img height="12" width="12" src="https://stackoverflow.com/Content/Sites/stackoverflow/Img/apple-touch-icon@2.png" alt="StackOverflow Logo" /> **[Stack Overflow](https://api.stackexchange.com/docs/mcp-server)** - Access Stack Overflow's trusted and verified technical questions and answers.
+- <img height="12" width="12" src="https://www.stardog.com/img/favicon.ico?_cchid=1cc28b39bd2e8a628edeed79ccd4f49c" alt="Stardog Logo" /> **[Stardog](https://github.com/stardog-union/stardog-cloud-mcp)** - Provide trusted, contextual answers to both humans and agents using your enterprise knowledge graph with [Stardog](https://www.stardog.com)'s Semantic AI Platform.
 - <img height="12" width="12" src="https://www.starrocks.io/favicon.ico" alt="StarRocks Logo" /> **[StarRocks](https://github.com/StarRocks/mcp-server-starrocks)** - Interact with [StarRocks](https://www.starrocks.io/)
 - <img height="12" width="12" src="https://downloads.steadybit.com/logomark.svg" alt="Steadybit Logo" /> **[Steadybit](https://github.com/steadybit/mcp)** - Interact with [Steadybit](https://www.steadybit.com/)
 - <img height="12" width="12" src="https://steuerboard.net/favicon.ico" alt="Steuerboard Logo" /> **[Steuerboard](https://github.com/steuerboard/steuerboard-mcp-typescript)** - Interact with the accounting data in your business using our official MCP server
 - <img height="12" width="12" src="https://avatars.githubusercontent.com/u/22632046?s=200&v=4" alt="Storybook Logo" /> **[Storybook](https://github.com/storybookjs/addon-mcp)** - Interact with [Storybook](https://storybook.js.org/) to automate UI component testing and documentation
 - <img height="12" width="12" src="https://raw.githubusercontent.com/klavis-ai/klavis/main/static/klavis-ai.png" alt="Strata Logo" /> **[Strata](https://www.klavis.ai/)** - One MCP server that guides your AI agents through thousands of tools in multiple apps progressively. It eliminates context overload and ensures accurate tool selection, enabling agents to handle complex, multi-app workflows with ease.
 - <img height="12" width="12" src="https://stripe.com/favicon.ico" alt="Stripe Logo" /> **[Stripe](https://github.com/stripe/agent-toolkit)** - Interact with Stripe API
+- <img height="12" width="12" src="https://www.success.co/favicon.ico" alt="Success.co Logo" /> **[Success.co](https://www.success.co/docs/guides/ai-mcp-connector)** - Interact with your Success.co account - enhance your EOS® journey and get insights on your teams and business.
 - <img height="12" width="12" src="https://github.com/cdnsteve.png" alt="Sugar Logo" /> **[Sugar](https://github.com/cdnsteve/sugar)** - Autonomous AI development platform for Claude Code with task management, specialized agents, and workflow automation. Full MCP server bridges Claude with Python CLI for rich task context and autonomous execution.
 - <img height="12" width="12" src="https://sunra.ai/favicon.ico" alt="Sunra AI Logo" /> **[Sunra AI](https://github.com/sunra-ai/sunra-clients/tree/main/mcp-server)** - Search for and run AI models on [Sunra.ai](https://sunra.ai). Discover models, create video, image, and 3D model content, track their status, and manage the generated media.
 - <img height="12" width="12" src="https://supabase.com/favicon/favicon.ico" alt="Supabase Logo" /> **[Supabase](https://github.com/supabase-community/supabase-mcp)** - Interact with Supabase: Create tables, query data, deploy edge functions, and more.
@@ -498,11 +519,14 @@ Official integrations are maintained by companies building production ready MCP
 - <img height="12" width="12" src="https://images.thetradeagent.ai/trade_agent/logo.svg" alt="Trade Agent Logo" /> **[Trade Agent](https://github.com/Trade-Agent/trade-agent-mcp)** - Execute stock and crypto trades on your brokerage via [Trade Agent](https://thetradeagent.ai)
 - <img height="18" width="18" src="https://github.com/twelvedata/mcp/raw/develop/favicon.ico" alt="Twelvedata Logo" /> **[Twelve Data](https://github.com/twelvedata/mcp)** — Integrate your AI agents with real-time and historical financial market data through our official [Twelve Data](https://twelvedata.com) MCP server.
 - <img height="12" width="12" src="https://www.twilio.com/content/dam/twilio-com/core-assets/social/favicon-16x16.png" alt="Twilio Logo" /> **[Twilio](https://github.com/twilio-labs/mcp)** - Interact with [Twilio](https://www.twilio.com/en-us) APIs to send SMS messages, manage phone numbers, configure your account, and more.
+- <img height="12" width="12" src="https://miniprogram.tcsas-superapp.com/icon_512.png" alt="TCSAS Logo" /> **[TCSAS](https://github.com/TCMPP-Team/tcsas-devtools-mcp-server)** - Built on the Tencent Mini Program technical framework and fully following the development, powered by [Tencent Cloud Super App as a Service](https://www.tencentcloud.com/products/tcsas?lang=en&pg=).
 - <img height="12" width="12" src="https://uberall.com/media/favicon.svg" alt="Uberall Logo" /> **[Uberall](https://github.com/uberall/uberall-mcp-server)** – Manage multi - location presence, including listings, reviews, and social posting, via [uberall](https://uberall.com).
 - <img height="12" width="12" src="https://avatars.githubusercontent.com/u/91906527" alt="Unblocked Logo" /> **[Unblocked](https://docs.getunblocked.com/unblocked-mcp)** Help your AI-powered IDEs generate faster, more accurate code by giving them access to context from Slack, Confluence, Google Docs, JIRA, and more with [Unblocked](https://getunblocked.com).
 - <img height="12" width="12" src="https://unifai.network/favicon.ico" alt="UnifAI Logo" /> **[UnifAI](https://github.com/unifai-network/unifai-mcp-server)** - Dynamically search and call tools using [UnifAI Network](https://unifai.network)
 - <img height="12" width="12" src="https://framerusercontent.com/images/plcQevjrOYnyriuGw90NfQBPoQ.jpg" alt="Unstructured Logo" /> **[Unstructured](https://github.com/Unstructured-IO/UNS-MCP)** - Set up and interact with your unstructured data processing workflows in [Unstructured Platform](https://unstructured.io)
+- <img height="12" width="12" src="https://uno-assets.platform.uno/logos/PNG/Uno_Platform_Symbol_RW.png" alt="Uno Platform Logo" /> **[Uno Platform](https://platform.uno/)** - Connects agents and developers to [Uno Platform's](https://aka.platform.uno/mcp) knowledge base - docs, APIs, and best practices allowing for building cross-platform .NET applications.
 - <img height="12" width="12" src="https://upstash.com/icons/favicon-32x32.png" alt="Upstash Logo" /> **[Upstash](https://github.com/upstash/mcp-server)** - Manage Redis databases and run Redis commands on [Upstash](https://upstash.com/) with natural language.
+- <img height="12" width="12" src="https://raw.githubusercontent.com/e2e-test-quest/uuv/refs/heads/main/uuv.ico" alt="UUV Logo" /> **[UUV](https://github.com/e2e-test-quest/uuv/tree/main/packages/mcp-server)** - Generate human readable end to end tests with [UUV](https://e2e-test-quest.github.io/uuv/).
 - <img height="12" width="12" src="http://vaadin.com/favicon.ico" alt="Vaadin Logo" /> **[Vaadin](https://github.com/marcushellberg/vaadin-documentation-services)** - Search Vaadin documentation, get the full documentation, and get version information. Designed for AI agents.
 - <img src="https://www.vantage.sh/favicon.ico" alt="Vantage" width="12" height="12"> **[Vantage](https://github.com/vantage-sh/vantage-mcp-server)** - Interact with your organization's cloud cost spend.
 - <img height="12" width="12" src="https://mcp.variflight.com/favicon.ico" alt="VariFlight Logo" /> **[VariFlight](https://github.com/variflight/variflight-mcp)** - VariFlight's official MCP server provides tools to query flight information, weather data, comfort metrics, the lowest available fares, and other civil aviation-related data.
@@ -538,6 +562,7 @@ Official integrations are maintained by companies building production ready MCP
 - **[ZettelkastenSpace](https://github.com/joshylchen/zettelkasten_space)** - Built on the proven [Zettelkasten](https://www.zettelkasten.space/) method, enhanced with Claude Desktop integration via Model Context Protocol 
 - <img height="12" width="12" src="https://www.zine.ai/images/zine-logo.png" alt="Zine Logo" /> **[Zine](https://www.zine.ai)** - Your memory, everywhere AI goes. Think iPhoto for your knowledge - upload and curate. Like ChatGPT but portable - context that travels with you.
 - <img height="12" width="12" src="https://zizai.work/images/logo.jpg" alt="ZIZAI Logo" /> **[ZIZAI Recruitment](https://github.com/zaiwork/mcp)** - Interact with the next-generation intelligent recruitment platform for employees and employers, powered by [ZIZAI Recruitment](https://zizai.work).
+
 ### 🌎 Community Servers

 A growing set of community-developed and maintained servers demonstrates various applications of MCP across different domains.
@@ -555,10 +580,12 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[Adobe Commerce](https://github.com/rafaelstz/adobe-commerce-dev-mcp)** — MCP to interact with Adobe Commerce GraphQL API, including orders, products, customers, etc.
 - **[ADR Analysis](https://github.com/tosin2013/mcp-adr-analysis-server)** - AI-powered Architectural Decision Records (ADR) analysis server that provides architectural insights, technology stack detection, security checks, and TDD workflow enhancement for software development projects.
 - **[Ads MCP](https://github.com/amekala/ads-mcp)** - Remote MCP server for cross-platform ad campaign creation (Google Ads Search & PMax, TikTok). OAuth 2.1 authentication with progress streaming support for long-running operations. [Website](https://www.adspirer.com/)
+- **[Agent Interviews](https://github.com/thinkchainai/agentinterviews_mcp)** - Conduct AI-powered qualitative research interviews and surveys at scale with [Agent Interviews](https://agentinterviews.com).
 - **[AgentBay](https://github.com/Michael98671/agentbay)** - An MCP server for providing serverless cloud infrastructure for AI agents.
 - **[Agentic Framework](https://github.com/Piotr1215/mcp-agentic-framework)** - Multi-agent collaboration framework enabling AI agents to register, discover each other, exchange asynchronous messages via HTTP transport, and work together on complex tasks with persistent message history.
 - **[AgentMode](https://www.agentmode.app)** - Connect to dozens of databases, data warehouses, Github & more, from a single MCP server.  Run the Docker image locally, in the cloud, or on-premise.
 - **[AI Agent Marketplace Index](https://github.com/AI-Agent-Hub/ai-agent-marketplace-index-mcp)** - MCP server to search more than 5000+ AI agents and tools of various categories from [AI Agent Marketplace Index](http://www.deepnlp.org/store/ai-agent) and monitor traffic of AI Agents.
+- **[AI Endurance](https://github.com/ai-endurance/mcp)** - AI-powered training platform for runners, cyclists, and triathletes with over 20 tools for workout management, activity analysis, performance predictions, and recovery tracking.
 - **[AI Tasks](https://github.com/jbrinkman/valkey-ai-tasks)** - Let the AI manage complex plans with integrated task management and tracking tools. Supports STDIO, SSE and Streamable HTTP transports.
 - **[ai-Bible](https://github.com/AdbC99/ai-bible)** - Search the bible reliably and repeatably [ai-Bible Labs](https://ai-bible.com)
 - **[Airbnb](https://github.com/openbnb-org/mcp-server-airbnb)** - Provides tools to search Airbnb and get listing details.
@@ -589,6 +616,7 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[Arduino](https://github.com/vishalmysore/choturobo)** - MCP Server that enables AI-powered robotics using Claude AI and Arduino (ESP32) for real-world automation and interaction with robots.
 - **[arXiv API](https://github.com/prashalruchiranga/arxiv-mcp-server)** - An MCP server that enables interacting with the arXiv API using natural language.
 - **[arxiv-latex-mcp](https://github.com/takashiishida/arxiv-latex-mcp)** - MCP server that fetches and processes arXiv LaTeX sources for precise interpretation of mathematical expressions in papers.
+- **[Arr Suite](https://github.com/shaktech786/arr-suite-mcp-server)** - Intelligent MCP server for Plex and the complete *arr media automation suite (Sonarr, Radarr, Prowlarr, Bazarr, Overseerr) with natural language processing for unified media management.
 - **[Atlassian](https://github.com/sooperset/mcp-atlassian)** - Interact with Atlassian Cloud products (Confluence and Jira) including searching/reading Confluence spaces/pages, accessing Jira issues, and project metadata.
 - **[Atlassian Server (by phuc-nt)](https://github.com/phuc-nt/mcp-atlassian-server)** - An MCP server that connects AI agents (Cline, Claude Desktop, Cursor, etc.) to Atlassian Jira & Confluence, enabling data queries and actions through the Model Context Protocol.
 - **[Attestable MCP](https://github.com/co-browser/attestable-mcp-server)** - An MCP server running inside a trusted execution environment (TEE) via Gramine, showcasing remote attestation using [RA-TLS](https://gramine.readthedocs.io/en/stable/attestation.html). This allows an MCP client to verify the server before connecting.
@@ -619,7 +647,7 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[BigQuery](https://github.com/ergut/mcp-bigquery-server)** (by ergut) - Server implementation for Google BigQuery integration that enables direct BigQuery database access and querying capabilities
 - **[Bilibili](https://github.com/wangshunnn/bilibili-mcp-server)** - This MCP server provides tools to fetch Bilibili user profiles, video metadata, search videos, and more.
 - **[Binance](https://github.com/ethancod1ng/binance-mcp-server)** - Cryptocurrency trading and market data access through Binance API integration.
- **[Binance](https://github.com/AnalyticAce/BinanceMCPServer)** (by dosseh shalom) - Unofficial tools and server implementation for Binance's Model Context Protocol (MCP). Designed to support developers building crypto trading AI Agents.
+- **[Binance](https://github.com/AnalyticAce/binance-mcp-server)** (by dosseh shalom) - Unofficial tools and server implementation for Binance's Model Context Protocol (MCP). Designed to support developers building crypto trading AI Agents.
 - **[Bing Web Search API](https://github.com/leehanchung/bing-search-mcp)** (by hanchunglee) - Server implementation for Microsoft Bing Web Search API.
 - **[BioMCP](https://github.com/genomoncology/biomcp)** (by imaurer) - Biomedical research assistant server providing access to PubMed, ClinicalTrials.gov, and MyVariant.info.
 - **[bioRxiv](https://github.com/JackKuo666/bioRxiv-MCP-Server)** - 🔍 Enable AI assistants to search and access bioRxiv papers through a simple MCP interface.
@@ -686,6 +714,7 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[consult7](https://github.com/szeider/consult7)** - Analyze large codebases and document collections using high-context models via OpenRouter, OpenAI, or Google AI -- very useful, e.g., with Claude Code
 - **[Contentful-mcp](https://github.com/ivo-toby/contentful-mcp)** - Read, update, delete, publish content in your [Contentful](https://contentful.com) space(s) from this MCP Server.
 - **[Context Crystallizer](https://github.com/hubertciebiada/context-crystallizer)** - AI Context Engineering tool that transforms large repositories into crystallized, AI-consumable knowledge through systematic analysis and optimization.
+- **[Context Processor](https://github.com/mschultheiss83/context-processor)** - Intelligent context management with configurable pre-processing strategies (clarify, analyze, search, fetch) for enhancing content clarity, searchability, and metadata extraction.
 - **[context-portal](https://github.com/GreatScottyMac/context-portal)** - Context Portal (ConPort) is a memory bank database system that effectively builds a project-specific knowledge graph, capturing entities like decisions, progress, and architecture, along with their relationships. This serves as a powerful backend for Retrieval Augmented Generation (RAG), enabling AI assistants to access precise, up-to-date project information.
 - **[cplusplus-mcp](https://github.com/kandrwmrtn/cplusplus_mcp)** - Semantic C++ code analysis using libclang. Enables Claude to understand C++ codebases through AST parsing rather than text search - find classes, navigate inheritance, trace function calls, and explore code relationships.
 - **[CRASH](https://github.com/nikkoxgonzales/crash-mcp)** - MCP server for structured, iterative reasoning and thinking with flexible validation, confidence tracking, revision mechanisms, and branching support.
@@ -697,6 +726,7 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[crypto-sentiment-mcp](https://github.com/kukapay/crypto-sentiment-mcp)**  -  An MCP server that delivers cryptocurrency sentiment analysis to AI agents.
 - **[cryptopanic-mcp-server](https://github.com/kukapay/cryptopanic-mcp-server)** - Providing latest cryptocurrency news to AI agents, powered by CryptoPanic.
 - **[CSV Editor](https://github.com/santoshray02/csv-editor)** - Comprehensive CSV processing with 40+ operations for data manipulation, analysis, and validation. Features auto-save, undo/redo, and handles GB+ files. Built with FastMCP & Pandas.
+- **[Current Time UTC MCP Server](https://github.com/jairampatel/currenttimeutc-mcp)** - A lightweight MCP server that provides accurate UTC time and timezone conversions in real-time.
 - **[Cursor MCP Installer](https://github.com/matthewdcage/cursor-mcp-installer)** - A tool to easily install and configure other MCP servers within Cursor IDE, with support for npm packages, local directories, and Git repositories.
 - **[CV Forge](https://github.com/thechandanbhagat/cv-forge)** - An intelligent MCP (Model Context Protocol) server that analyzes job postings and crafts perfectly-matched CVs (by [Chandan Bhagat](https://me.chandanbhagat.com.np)).
 - **[CVE Intelligence Server](https://github.com/gnlds/mcp-cve-intelligence-server-lite)** – Provides vulnerability intelligence via multi - source CVE data, essential exploit discovery, and EPSS risk scoring through the MCP. Useful for security research, automation, and agent workflows.
@@ -774,6 +804,7 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[Excel to JSON MCP by WTSolutions](https://github.com/he-yang/excel-to-json-mcp)** - MCP Server providing a standardized interface for converting (1) Excel or CSV data into JSON format ;(2) Excel(.xlsx) file into Structured JSON.
 - **[Extended Memory](https://github.com/ssmirnovpro/extended-memory-mcp)** - Persistent memory across Claude conversations with multi-project support, automatic importance scoring, and tag-based organization. Production-ready with 400+ tests.
 - **[F1](https://github.com/AbhiJ2706/f1-mcp/tree/main)** - Access to Formula 1 data including race results, driver information, lap times, telemetry, and circuit details.
+- **[Fabi](https://docs.fabi.ai/advanced_features_and_dev_tools/mcp_server)** - MCP server that exposes [Fabi](https://app.fabi.ai/) analyst agent to turn natural-language prompts into insights: navigating connected data, generating safe SQL/Python, running queries, and saving results into dashboards.
 - **[Fabric MCP](https://github.com/aci-labs/ms-fabric-mcp)** - Microsoft Fabric MCP server to accelerate working in your Fabric Tenant with the help of your favorite LLM models.
 - **[Fabric Real-Time Intelligence MCP](https://github.com/Microsoft/fabric-rti-mcp)** - Official Microsoft Fabric RTI server to accelerate working with Eventhouse, Azure Data Explorer(Kusto), Eventstreams and other RTI items using your favorite LLM models.
 - **[fabric-mcp-server](https://github.com/adapoet/fabric-mcp-server)** - The fabric-mcp-server is an MCP server that integrates [Fabric](https://github.com/danielmiessler/fabric) patterns with [Cline](https://cline.bot/), exposing them as tools for AI-driven task execution and enhancing Cline's capabilities.
@@ -838,6 +869,7 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[Goodnews](https://github.com/VectorInstitute/mcp-goodnews)** - A simple MCP server that delivers curated positive and uplifting news stories.
 - **[Google Ads](https://github.com/gomarble-ai/google-ads-mcp-server)** - MCP server acting as an interface to the Google Ads, enabling programmatic access to Facebook Ads data and management features.
 - **[Google Analytics](https://github.com/surendranb/google-analytics-mcp)** - Google Analytics MCP Server to bring data across 200+ dimensions & metrics for LLMs to analyse.
+- **[Google Analytics 4](https://github.com/gomakers-ai/mcp-google-analytics)** - MCP server for Google Analytics Data API and Measurement Protocol to read reports and send events.
 - **[Google Calendar](https://github.com/v-3/google-calendar)** - Integration with Google Calendar to check schedules, find time, and add/delete events
 - **[Google Calendar](https://github.com/nspady/google-calendar-mcp)** - Google Calendar MCP Server for managing Google calendar events. Also supports searching for events by attributes like title and location.
 - **[Google Custom Search](https://github.com/adenot/mcp-google-search)** - Provides Google Search results via the Google Custom Search API
@@ -854,6 +886,7 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[GraphQL](https://github.com/drestrepom/mcp_graphql)** - Comprehensive GraphQL API integration that automatically exposes each GraphQL query as a separate tool.
 - **[GraphQL Schema](https://github.com/hannesj/mcp-graphql-schema)** - Allow LLMs to explore large GraphQL schemas without bloating the context.
 - **[Graylog](https://github.com/Pranavj17/mcp-server-graylog)** - Search Graylog logs by absolute/relative timestamps, filter by streams, and debug production issues directly from Claude Desktop.
+- **[Grok-MCP](https://github.com/merterbak/Grok-MCP)** - MCP server for xAI’s API featuring the latest Grok models, image analysis & generation, and web search.
 - **[gx-mcp-server](https://github.com/davidf9999/gx-mcp-server)** - Expose Great Expectations data validation and quality checks as MCP tools for AI agents.
 - **[HackMD](https://github.com/yuna0x0/hackmd-mcp)** (by yuna0x0) - An MCP server for HackMD, a collaborative markdown editor. It allows users to create, read, and update documents in HackMD using the Model Context Protocol.
 - **[HAProxy](https://github.com/tuannvm/haproxy-mcp-server)** - A Model Context Protocol (MCP) server for HAProxy implemented in Go, leveraging HAProxy Runtime API.
@@ -930,6 +963,7 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[Kong Konnect](https://github.com/Kong/mcp-konnect)** - A Model Context Protocol (MCP) server for interacting with Kong Konnect APIs, allowing AI assistants to query and analyze Kong Gateway configurations, traffic, and analytics.
 - **[Korea Stock Analyzer](https://github.com/Mrbaeksang/korea-stock-analyzer-mcp)** - Analyze Korean stocks (KOSPI/KOSDAQ) with 6 legendary investment strategies including Buffett, Lynch, Graham, Greenblatt, Fisher, and Templeton.
 - **[KRS Poland](https://github.com/pkolawa/krs-poland-mcp-server)** - Access to Polish National Court Register (KRS)—the government's authoritative registry of all businesses, foundations, and other legal entities.
+- **[Kubeflow Spark History MCP Server](https://github.com/kubeflow/mcp-apache-spark-history-server)** - Enable AI agents to analyze Spark job performance, identify bottlenecks, and provide intelligent insights.
 - **[Kubernetes](https://github.com/Flux159/mcp-server-kubernetes)** - Connect to Kubernetes cluster and manage pods, deployments, and services.
 - **[Kubernetes and OpenShift](https://github.com/manusa/kubernetes-mcp-server)** - A powerful Kubernetes MCP server with additional support for OpenShift. Besides providing CRUD operations for any Kubernetes resource, this server provides specialized tools to interact with your cluster.
 - **[KubeSphere](https://github.com/kubesphere/ks-mcp-server)** - The KubeSphere MCP Server is a Model Context Protocol(MCP) server that provides integration with KubeSphere APIs, enabling to get resources from KubeSphere. Divided into four tools modules: Workspace Management, Cluster Management, User and Roles, Extensions Center.
@@ -939,6 +973,8 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[Langflow MCP Server](https://github.com/nobrainer-tech/langflow-mcp)** - Comprehensive MCP server providing 90 tools for Langflow workflow automation - manage flows, execute workflows, handle builds, and interact with knowledge bases. Includes Docker support and full API coverage for Langflow 1.6.4.
 - **[Langflow-DOC-QA-SERVER](https://github.com/GongRzhe/Langflow-DOC-QA-SERVER)** - A Model Context Protocol server for document Q&A powered by Langflow. It demonstrates core MCP concepts by providing a simple interface to query documents through a Langflow backend.
 - **[Language Server](https://github.com/isaacphi/mcp-language-server)** - MCP Language Server helps MCP enabled clients navigate codebases more easily by giving them access to semantic tools like get definition, references, rename, and diagnostics.
+- **[Large File MCP](https://github.com/willianpinho/large-file-mcp)** - Intelligent handling of large files with smart chunking, navigation, and streaming capabilities. Features LRU caching, regex
+search, and comprehensive file analysis.
 - **[Lark(Feishu)](https://github.com/kone-net/mcp_server_lark)** - A Model Context Protocol(MCP) server for Lark(Feishu) sheet, message, doc and etc.
 - **[Lazy Toggl MCP](https://github.com/movstox/lazy-toggl-mcp)** - Simple unofficial MCP server to track time via Toggl API
 - **[lean-lsp-mcp](https://github.com/oOo0oOo/lean-lsp-mcp)** - Interact with the [Lean theorem prover](https://lean-lang.org/) via the Language Server Protocol.
@@ -986,6 +1022,7 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[Matrix](https://github.com/mjknowles/matrix-mcp-server)** - Interact with a Matrix homeserver.
 - **[Maven Tools MCP](https://github.com/arvindand/maven-tools-mcp)** - Maven Central dependency intelligence for JVM build tools. Supports all build tools (Maven, Gradle, SBT, Mill) with Context7 integration for documentation support.
 - **[Maybe Don't AI Policy Engine](https://www.maybedont.ai/download/)** - Yet another MCP security gateway, Maybe Don't AI provides policy checks on any call before it reaches downstream MCP servers to protect users from agents behaving poorly.
+- **[MCP Bundles Hub](https://github.com/thinkchainai/mcpbundles)** - Discover, install, and manage 500+ MCP provider integrations and bundles through [MCP Bundles](https://mcpbundles.com).
 - **[MCP Compass](https://github.com/liuyoshio/mcp-compass)** - Suggest the right MCP server for your needs
 - **[MCP Context Provider](https://github.com/doobidoo/MCP-Context-Provider)** - Static server that provides AI models with persistent tool-specific context and rules, preventing context loss between chat sessions and enabling consistent behavior across interactions.
 - **[MCP Create](https://github.com/tesla0225/mcp-create)** - A dynamic MCP server management service that creates, runs, and manages Model Context Protocol servers on-the-fly.
@@ -1017,6 +1054,7 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[MCP-OpenStack-Ops](https://github.com/call518/MCP-OpenStack-Ops)** - Professional OpenStack operations automation via MCP server. Specialized tools for cluster monitoring, instance management, volume control & network analysis. FastMCP + OpenStack SDK + Bearer auth. Claude Desktop ready. Perfect for DevOps & cloud automation.
 - **[MCP-PostgreSQL-Ops](https://github.com/call518/MCP-PostgreSQL-Ops)** - Model Context Protocol (MCP) server for Apache Ambari API integration. This project provides tools for managing Hadoop clusters, including service operations, configuration management, status monitoring, and request tracking.
 - **[mcp-proxy](https://github.com/sparfenyuk/mcp-proxy)** - Connect to MCP servers that run on SSE transport, or expose stdio servers as an SSE server.
+- **[mcp-proxy](https://github.com/mikluko/mcp-proxy)** - Lightweight proxy that handles OAuth 2.0/PKCE authentication and token management for MCP clients lacking native OAuth support.
 - **[mcp-read-website-fast](https://github.com/just-every/mcp-read-website-fast)** - Fast, token-efficient web content extraction that converts websites to clean Markdown. Features Mozilla Readability, smart caching, polite crawling with robots.txt support, and concurrent fetching with minimal dependencies.
 - **[mcp-salesforce](https://github.com/lciesielski/mcp-salesforce-example)** - MCP server with basic demonstration of interactions with your Salesforce instance
 - **[mcp-sanctions](https://github.com/madupay/mcp-sanctions)** - Screen individuals and organizations against global sanctions lists (OFAC, SDN, UN, etc). Query by prompt or document upload.
@@ -1041,6 +1079,7 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[Membase](https://github.com/unibaseio/membase-mcp)** - Save and query your agent memory in distributed way by Membase.
 - **[Meme MCP](https://github.com/lidorshimoni/meme-mcp)** - Generate memes via AI using the Imgflip API through the Model Context Protocol.
 - **[memento-mcp](https://github.com/gannonh/memento-mcp)** - Knowledge graph memory system built on Neo4j with semantic search, temporal awareness.
+- **[memos-api-mcp](https://github.com/MemTensor/memos-api-mcp)** - A Model Context Protocol implementation for the API service of [MemOS](https://memos.openmem.net/), a memory management operating system designed for AI applications.
 - **[Meta Ads Remote MCP](https://github.com/pipeboard-co/meta-ads-mcp)** - Remote MCP server to interact with Meta Ads API - access, analyze, and manage Facebook, Instagram, and other Meta platforms advertising campaigns.
 - **[MetaTrader MCP](https://github.com/ariadng/metatrader-mcp-server)** - Enable AI LLMs to execute trades using MetaTrader 5 platform.
 - **[Metricool MCP](https://github.com/metricool/mcp-metricool)** - A Model Context Protocol server that integrates with Metricool's social media analytics platform to retrieve performance metrics and schedule content across networks like Instagram, Facebook, Twitter, LinkedIn, TikTok and YouTube.
@@ -1096,6 +1135,7 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[nomad-mcp](https://github.com/kocierik/mcp-nomad)** - A server that provides a set of tools for managing Nomad clusters through the MCP.
 - **[Notion](https://github.com/suekou/mcp-notion-server)** (by suekou) - Interact with Notion API.
 - **[Notion](https://github.com/v-3/notion-server)** (by v-3) - Notion MCP integration. Search, Read, Update, and Create pages through Claude chat.
+- **[Notion](https://github.com/njbrake/notion-mcp-server)** (by njbrake) - Fork of official Notion MCP Server that returns markdown representation instead of raw json for efficient token usage
 - **[NPM Plus](https://github.com/shacharsol/js-package-manager-mcp)** - AI-powered JavaScript package management with security scanning, bundle analysis, and intelligent dependency management for MCP-compatible editors.
 - **[NS Travel Information](https://github.com/r-huijts/ns-mcp-server)** - Access Dutch Railways (NS) real-time train travel information and disruptions through the official NS API.
 - **[ntfy-mcp](https://github.com/teddyzxcv/ntfy-mcp)** (by teddyzxcv) - The MCP server that keeps you informed by sending the notification on phone using ntfy
@@ -1159,6 +1199,7 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[Peacock for VS Code](https://github.com/johnpapa/peacock-mcp)** - MCP Server for the Peacock extension for VS Code, coloring your world, one Code editor at a time. The main goal of the project is to show how an MCP server can be used to interact with APIs.
 - **[persistproc](https://github.com/irskep/persistproc)** - MCP server + command line tool that allows agents to see & control long-running processes like web servers.
 - **[Pexels](https://github.com/garylab/pexels-mcp-server)** - A MCP server providing access to Pexels Free Image API, enabling seamless search, retrieval, and download of high-quality royalty-free images.
+- **[pgtuner_mcp](https://github.com/isdaniel/pgtuner_mcp)** - provides AI-powered PostgreSQL performance tuning capabilities.
 - **[Pharos](https://github.com/QuentinCody/pharos-mcp-server)** - Unofficial MCP server for the Pharos database by the National Center for Advancing Translational Sciences (NCATS), providing access to target, drug, and disease information for drug discovery research.
 - **[Phone MCP](https://github.com/hao-cyber/phone-mcp)** - 📱 A powerful plugin that lets you control your Android phone. Enables AI agents to perform complex tasks like automatically playing music based on weather or making calls and sending texts.
 - **[PIF](https://github.com/hungryrobot1/MCP-PIF)** - A Personal Intelligence Framework (PIF), providing tools for file operations, structured reasoning, and journal-based documentation to support continuity and evolving human-AI collaboration across sessions.
@@ -1174,6 +1215,7 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[PostgreSQL](https://github.com/ahmedmustahid/postgres-mcp-server)** - A PostgreSQL MCP server offering dual HTTP/Stdio transports for database schema inspection and read-only query execution with session management and Podman(or Docker) support.
 - **[Postman](https://github.com/shannonlal/mcp-postman)** - MCP server for running Postman Collections locally via Newman. Allows for simple execution of Postman Server and returns the results of whether the collection passed all the tests.
 - **[Powerdrill](https://github.com/powerdrillai/powerdrill-mcp)** - Interact with Powerdrill datasets, authenticated with [Powerdrill](https://powerdrill.ai) User ID and Project API Key.
+- **[predictive-maintenance-mcp](https://github.com/LGDiMaggio/predictive-maintenance-mcp)** - AI-powered predictive maintenance and fault diagnosis. Features vibration analysis, bearing diagnostics, ISO 20816-3. compliance, and ML anomaly detection for industrial machinery.
 - **[Prefect](https://github.com/allen-munsch/mcp-prefect)** - MCP Server for workflow orchestration and ELT/ETL with Prefect Server, and Prefect Cloud [https://www.prefect.io/] using the `prefect` python client.
 - **[Producer Pal](https://github.com/adamjmurray/producer-pal)** - MCP server for controlling Ableton Live, embedded in a Max for Live device for easy drag and drop installation.
 - **[Productboard](https://github.com/kenjihikmatullah/productboard-mcp)** - Integrate the Productboard API into agentic workflows via MCP.
@@ -1212,6 +1254,7 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[Rememberizer AI](https://github.com/skydeckai/mcp-server-rememberizer)** - An MCP server designed for interacting with the Rememberizer data source, facilitating enhanced knowledge retrieval.
 - **[Replicate](https://github.com/deepfates/mcp-replicate)** - Search, run and manage machine learning models on Replicate through a simple tool-based interface. Browse models, create predictions, track their status, and handle generated images.
 - **[Resend](https://github.com/Klavis-AI/klavis/tree/main/mcp_servers/resend)** - Send email using Resend services
+- **[Restream](https://github.com/shaktech786/restream-mcp-server)** - Model Context Protocol server for Restream API integration - manage multi-platform live streams, control channels, and access streaming analytics.
 - **[Revit MCP](https://github.com/revit-mcp)** - A service implementing the MCP protocol for Autodesk Revit.
 - **[Rijksmuseum](https://github.com/r-huijts/rijksmuseum-mcp)** - Interface with the Rijksmuseum API to search artworks, retrieve artwork details, access image tiles, and explore user collections.
 - **[Riot Games](https://github.com/jifrozen0110/mcp-riot)** - MCP server for League of Legends – fetch player info, ranks, champion stats, and match history via Riot API.
@@ -1353,6 +1396,7 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[USA Spending MCP Server](https://github.com/thsmale/usaspending-mcp-server)** – This leverages the official source of government spending data [USASPENDING.gov](https://www.usaspending.gov/). Which enables one to track government spending over time, search government spending by agency, explore government spending to communities, and much more.
 - **[use_aws_mcp](https://github.com/runjivu/use_aws_mcp)** - amazon-q-cli's use_aws tool extracted into independent mcp, for general aws api usage.
 - **[User Feedback](https://github.com/mrexodia/user-feedback-mcp)** - Simple MCP Server to enable a human-in-the-loop workflow in tools like Cline and Cursor.
+- **[Useless Toolkit](https://uselesstoolkit.com/apis/mcp-servers)** - MCP-ready server endpoints for utility APIs, including Password Generator, IP2Geo etc., are provided by UselessToolkit.com, allowing seamless integration with AI agents via secure RapidAPI connections.
 - **[USPTO](https://github.com/riemannzeta/patent_mcp_server)** - MCP server for accessing United States Patent & Trademark Office data through its Open Data Protocol (ODP) API.
 - **[Vectara](https://github.com/vectara/vectara-mcp)** - Query Vectara's trusted RAG-as-a-service platform.
 - **[Vega-Lite](https://github.com/isaacwasserman/mcp-vegalite-server)** - Generate visualizations from fetched data using the VegaLite format and renderer.
@@ -1374,9 +1418,11 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[Webex](https://github.com/Kashyap-AI-ML-Solutions/webex-messaging-mcp-server)** - A Model Context Protocol (MCP) server that provides AI assistants with comprehensive access to Cisco Webex messaging capabilities.
 - **[Webflow](https://github.com/kapilduraphe/webflow-mcp-server)** - Interact with the Webflow APIs
 - **[webhook-mcp](https://github.com/noobnooc/webhook-mcp)** (by Nooc) - A Model Context Protocol (MCP) server that sends webhook notifications when called.
+- **[Wekan](https://github.com/namar0x0309/wekan-mcp)** - Unofficial MCP server for Wekan, providing all rest api functionality to add, edit, delete tasks and boards.
 - **[whale-tracker-mcp](https://github.com/kukapay/whale-tracker-mcp)**  -  A mcp server for tracking cryptocurrency whale transactions.
 - **[WhatsApp MCP Server](https://github.com/lharries/whatsapp-mcp)** - MCP server for your personal WhatsApp handling individuals, groups, searching and sending.
 - **[Whois MCP](https://github.com/bharathvaj-ganesan/whois-mcp)** - MCP server that performs whois lookup against domain, IP, ASN and TLD.
+- **[Withings](https://github.com/akutishevsky/withings-mcp)** - Access and analyze Withings health data including sleep analysis, body measurements, workouts, ECG recordings, and fitness goals through natural conversation.
 - **[Wikidata MCP](https://github.com/zzaebok/mcp-wikidata)** - Wikidata MCP server that interact with Wikidata, by searching identifiers, extracting metadata, and executing sparql query.
 - **[Wikidata SPARQL](https://github.com/QuentinCody/wikidata-sparql-mcp-server)** - Unofficial REMOTE MCP server for Wikidata's SPARQL endpoint, providing access to structured knowledge data, entity relationships, and semantic queries for research and data analysis.
 - **[Wikifunctions](https://github.com/Fredibau/wikifunctions-mcp-fredibau)** - Allowing AI models to discover and execute functions from the WikiFunctions library.
@@ -1455,7 +1501,7 @@ These are high-level frameworks that make it easier to build MCP servers or clie
 * **[MCP CLI Client](https://github.com/vincent-pli/mcp-cli-host)** - A CLI host application that enables Large Language Models (LLMs) to interact with external tools through the Model Context Protocol (MCP).
 * **[OpenMCP Client](https://github.com/LSTM-Kirigaya/openmcp-client/)** - An all-in-one vscode/trae/cursor plugin for MCP server debugging. [Document](https://kirigaya.cn/openmcp/) & [OpenMCP SDK](https://kirigaya.cn/openmcp/sdk-tutorial/).
 * **[PHP MCP Client](https://github.com/php-mcp/client)** - Core PHP implementation for the Model Context Protocol (MCP) Client
-
+* **[Runbear](https://runbear.io/solutions/integrations/slack/mcp)** - No-code MCP client for team chat platforms, such as Slack, Microsoft Teams, and Discord.

 ## 📚 Resources

@@ -1510,6 +1556,9 @@ Additional resources on MCP.
 - **[Toolbase](https://gettoolbase.ai)** - Desktop application that manages tools and MCP servers with just a few clicks - no coding required by **[gching](https://github.com/gching)**
 - **[ToolHive](https://github.com/StacklokLabs/toolhive)** - A lightweight utility designed to simplify the deployment and management of MCP servers, ensuring ease of use, consistency, and security through containerization by **[StacklokLabs](https://github.com/StacklokLabs)**
 - **[NetMind](https://www.netmind.ai/AIServices)** - Access powerful AI services via simple APIs or MCP servers to supercharge your productivity.
+- **[Webrix MCP Gateway](https://github.com/webrix-ai/secure-mcp-gateway)** - Enterprise MCP gateway with SSO, RBAC, audit trails, and token vaults for secure, centralized AI agent access control. Deploy via Helm charts on-premise or in your cloud. [webrix.ai](https://webrix.ai)
+
+

 ## 🚀 Getting Started

@@ -1604,4 +1653,3 @@ If you find MCP servers useful, please consider starring the repository and cont
 ---

 Managed by Anthropic, but built together with the community. The Model Context Protocol is open source and we encourage everyone to contribute their own servers and improvements!
-
--- a/package-lock.json
+++ b/package-lock.json
--- a/src/everything/README.md
+++ b/src/everything/README.md
@@ -196,7 +196,7 @@ Add the configuration to your user-level MCP configuration file. Open the Comman
 **Method 2: Workspace Configuration**
 Alternatively, you can add the configuration to a file called `.vscode/mcp.json` in your workspace. This will allow you to share the configuration with others.

-> For more details about MCP configuration in VS Code, see the [official VS Code MCP documentation](https://code.visualstudio.com/docs/copilot/mcp).
+> For more details about MCP configuration in VS Code, see the [official VS Code MCP documentation](https://code.visualstudio.com/docs/copilot/customization/mcp-servers).

 #### NPX

--- a/src/everything/everything.ts
+++ b/src/everything/everything.ts
@@ -20,7 +20,6 @@ import {
  ServerRequest,
  SubscribeRequestSchema,
  Tool,
-  ToolSchema,
  UnsubscribeRequestSchema,
  type Root
 } from "@modelcontextprotocol/sdk/types.js";
@@ -35,11 +34,8 @@ const __filename = fileURLToPath(import.meta.url);
 const __dirname = dirname(__filename);
 const instructions = readFileSync(join(__dirname, "instructions.md"), "utf-8");

-const ToolInputSchema = ToolSchema.shape.inputSchema;
-type ToolInput = z.infer<typeof ToolInputSchema>;
-
-const ToolOutputSchema = ToolSchema.shape.outputSchema;
-type ToolOutput = z.infer<typeof ToolOutputSchema>;
+type ToolInput = Tool["inputSchema"];
+type ToolOutput = Tool["outputSchema"];

 type SendRequest = RequestHandlerExtra<ServerRequest, ServerNotification>["sendRequest"];

@@ -621,7 +617,7 @@ export const createServer = () => {
      );
      return {
        content: [
-          { type: "text", text: `LLM sampling result: ${result.content.text}` },
+          { type: "text", text: `LLM sampling result: ${Array.isArray(result.content) ? result.content.map(c => c.type === "text" ? c.text : JSON.stringify(c)).join("") : (result.content.type === "text" ? result.content.text : JSON.stringify(result.content))}` },
        ],
      };
    }
@@ -738,23 +734,23 @@ export const createServer = () => {
            type: 'object',
            properties: {
              name: {
-                title: 'Full Name',
+                title: 'String',
                type: 'string',
                description: 'Your full, legal name',
              },
              check: {
-                title: 'Agree to terms',
+                title: 'Boolean',
                type: 'boolean',
-                description: 'A boolean check',
+                description: 'Agree to the terms and conditions',
              },
-              color: {
-                title: 'Favorite Color',
+              firstLine: {
+                title: 'String with default',
                type: 'string',
-                description: 'Favorite color (open text)',
-                default: 'blue',
+                description: 'Favorite first line of a story',
+                default: 'It was a dark and stormy night.',
              },
              email: {
-                title: 'Email Address',
+                title: 'String with email format',
                type: 'string',
                format: 'email',
                description: 'Your email address (will be verified, and never shared with anyone else)',
@@ -762,16 +758,17 @@ export const createServer = () => {
              homepage: {
                type: 'string',
                format: 'uri',
-                description: 'Homepage / personal site',
+                title: 'String with uri format',
+                description: 'Portfolio / personal website',
              },
              birthdate: {
-                title: 'Birthdate',
+                title: 'String with date format',
                type: 'string',
                format: 'date',
-                description: 'Your date of birth (will never be shared with anyone else)',
+                description: 'Your date of birth',
              },
              integer: {
-                title: 'Favorite Integer',
+                title: 'Integer',
                type: 'integer',
                description: 'Your favorite integer (do not give us your phone number, pin, or other sensitive info)',
                minimum: 1,
@@ -779,21 +776,63 @@ export const createServer = () => {
                default: 42,
              },
              number: {
-                title: 'Favorite Number',
+                title: 'Number in range 1-1000',
                type: 'number',
                description: 'Favorite number (there are no wrong answers)',
                minimum: 0,
                maximum: 1000,
                default: 3.14,
              },
-              petType: {
-                title: 'Pet type',
+              untitledSingleSelectEnum: {
                type: 'string',
-                enum: ['cats', 'dogs', 'birds', 'fish', 'reptiles'],
-                enumNames: ['Cats', 'Dogs', 'Birds', 'Fish', 'Reptiles'],
-                default: 'dogs',
-                description: 'Your favorite pet type',
+                title: 'Untitled Single Select Enum',
+                description: 'Choose your favorite friend',
+                enum: ['Monica', 'Rachel', 'Joey', 'Chandler', 'Ross', 'Phoebe'],
+                default: 'Monica'
              },
+              untitledMultipleSelectEnum: {
+                type: 'array',
+                title: 'Untitled Multiple Select Enum',
+                description: 'Choose your favorite instruments',
+                minItems: 1,
+                maxItems: 3,
+                items: { type: 'string', enum: ['Guitar', 'Piano', 'Violin', 'Drums', 'Bass'] },
+                default: ['Guitar']
+              },
+              titledSingleSelectEnum: {
+                type: 'string',
+                title: 'Titled Single Select Enum',
+                description: 'Choose your favorite hero',
+                oneOf: [
+                    { const: 'hero-1', title: 'Superman' },
+                    { const: 'hero-2', title: 'Green Lantern' },
+                    { const: 'hero-3', title: 'Wonder Woman' }
+                ],
+                default: 'hero-1'
+              },
+              titledMultipleSelectEnum: {
+                type: 'array',
+                title: 'Titled Multiple Select Enum',
+                description: 'Choose your favorite types of fish',
+                minItems: 1,
+                maxItems: 3,
+                items: {
+                    anyOf: [
+                        { const: 'fish-1', title: 'Tuna' },
+                        { const: 'fish-2', title: 'Salmon' },
+                        { const: 'fish-3', title: 'Trout' }
+                    ]
+                },
+                default: ['fish-1']
+              },
+              legacyTitledEnum: {
+                  type: 'string',
+                  title: 'Legacy Titled Single Select Enum',
+                  description: 'Choose your favorite type of pet',
+                  enum: ['pet-1', 'pet-2', 'pet-3', 'pet-4', 'pet-5'],
+                  enumNames: ['Cats', 'Dogs', 'Birds', 'Fish', 'Reptiles'],
+                  default: 'pet-1',
+              }
            },
            required: ['name'],
          },
--- a/src/everything/package.json
+++ b/src/everything/package.json
@@ -3,9 +3,14 @@
  "version": "0.6.2",
  "description": "MCP server that exercises all the features of the MCP protocol",
  "license": "MIT",
+  "mcpName": "io.github.modelcontextprotocol/server-everything",
  "author": "Anthropic, PBC (https://anthropic.com)",
  "homepage": "https://modelcontextprotocol.io",
  "bugs": "https://github.com/modelcontextprotocol/servers/issues",
+  "repository": {
+    "type": "git",
+    "url": "https://github.com/modelcontextprotocol/servers.git"
+  },
  "type": "module",
  "bin": {
    "mcp-server-everything": "dist/index.js"
@@ -22,16 +27,16 @@
    "start:streamableHttp": "node dist/streamableHttp.js"
  },
  "dependencies": {
-    "@modelcontextprotocol/sdk": "^1.19.1",
+    "@modelcontextprotocol/sdk": "^1.24.0",
    "cors": "^2.8.5",
-    "express": "^4.21.1",
+    "express": "^5.2.1",
    "jszip": "^3.10.1",
-    "zod": "^3.23.8",
+    "zod": "^3.25.0",
    "zod-to-json-schema": "^3.23.5"
  },
  "devDependencies": {
    "@types/cors": "^2.8.19",
-    "@types/express": "^5.0.0",
+    "@types/express": "^5.0.6",
    "shx": "^0.3.4",
    "typescript": "^5.6.2"
  }
--- a/src/everything/stdio.ts
+++ b/src/everything/stdio.ts
@@ -9,14 +9,18 @@ async function main() {
    const transport = new StdioServerTransport();
    const {server, cleanup, startNotificationIntervals} = createServer();

+    // Cleanup when client disconnects
+    server.onclose = async () => {
+      await cleanup();
+      process.exit(0);
+    };
+
    await server.connect(transport);
    startNotificationIntervals();

    // Cleanup on exit
    process.on("SIGINT", async () => {
-        await cleanup();
-        await server.close();
-        process.exit(0);
+      await server.close();
    });
 }

--- a/src/fetch/Dockerfile
+++ b/src/fetch/Dockerfile
@@ -14,13 +14,13 @@ ENV UV_LINK_MODE=copy
 RUN --mount=type=cache,target=/root/.cache/uv \
    --mount=type=bind,source=uv.lock,target=uv.lock \
    --mount=type=bind,source=pyproject.toml,target=pyproject.toml \
-    uv sync --frozen --no-install-project --no-dev --no-editable
+    uv sync --locked --no-install-project --no-dev --no-editable

 # Then, add the rest of the project source code and install it
 # Installing separately from its dependencies allows optimal layer caching
 ADD . /app
 RUN --mount=type=cache,target=/root/.cache/uv \
-    uv sync --frozen --no-dev --no-editable
+    uv sync --locked --no-dev --no-editable

 FROM python:3.12-slim-bookworm

--- a/src/fetch/README.md
+++ b/src/fetch/README.md
@@ -1,5 +1,7 @@
 # Fetch MCP Server

+<!-- mcp-name: io.github.modelcontextprotocol/server-fetch -->
+
 A Model Context Protocol server that provides web content fetching capabilities. This server enables LLMs to retrieve and process content from web pages, converting HTML to markdown for easier consumption.

 > [!CAUTION]
--- a/src/fetch/uv.lock
+++ b/src/fetch/uv.lock
@@ -1,13 +1,14 @@
 version = 1
+revision = 3
 requires-python = ">=3.10"

 [[package]]
 name = "annotated-types"
 version = "0.7.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081 }
+sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081, upload-time = "2024-05-20T21:33:25.928Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/78/b6/6307fbef88d9b5ee7421e68d78a9f162e0da4900bc5f5793f6d3d0e34fb8/annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53", size = 13643 },
+    { url = "https://files.pythonhosted.org/packages/78/b6/6307fbef88d9b5ee7421e68d78a9f162e0da4900bc5f5793f6d3d0e34fb8/annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53", size = 13643, upload-time = "2024-05-20T21:33:24.1Z" },
 ]

 [[package]]
@@ -20,9 +21,9 @@ dependencies = [
    { name = "sniffio" },
    { name = "typing-extensions", marker = "python_full_version < '3.11'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/9f/09/45b9b7a6d4e45c6bcb5bf61d19e3ab87df68e0601fa8c5293de3542546cc/anyio-4.6.2.post1.tar.gz", hash = "sha256:4c8bc31ccdb51c7f7bd251f51c609e038d63e34219b44aa86e47576389880b4c", size = 173422 }
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--- a/src/filesystem/README.md
+++ b/src/filesystem/README.md
@@ -175,6 +175,35 @@ The server's directory access control follows this flow:
  - Returns:
    - Directories that this server can read/write from

+### Tool annotations (MCP hints)
+
+This server sets [MCP ToolAnnotations](https://modelcontextprotocol.io/specification/2025-03-26/server/tools#toolannotations)
+on each tool so clients can:
+
+- Distinguish **read‑only** tools from write‑capable tools.
+- Understand which write operations are **idempotent** (safe to retry with the same arguments).
+- Highlight operations that may be **destructive** (overwriting or heavily mutating data).
+
+The mapping for filesystem tools is:
+
+| Tool                        | readOnlyHint | idempotentHint | destructiveHint | Notes                                            |
+|-----------------------------|--------------|----------------|-----------------|--------------------------------------------------|
+| `read_text_file`            | `true`       | –              | –               | Pure read                                       |
+| `read_media_file`           | `true`       | –              | –               | Pure read                                       |
+| `read_multiple_files`       | `true`       | –              | –               | Pure read                                       |
+| `list_directory`            | `true`       | –              | –               | Pure read                                       |
+| `list_directory_with_sizes` | `true`       | –              | –               | Pure read                                       |
+| `directory_tree`            | `true`       | –              | –               | Pure read                                       |
+| `search_files`              | `true`       | –              | –               | Pure read                                       |
+| `get_file_info`             | `true`       | –              | –               | Pure read                                       |
+| `list_allowed_directories`  | `true`       | –              | –               | Pure read                                       |
+| `create_directory`          | `false`      | `true`         | `false`         | Re‑creating the same dir is a no‑op             |
+| `write_file`                | `false`      | `true`         | `true`          | Overwrites existing files                       |
+| `edit_file`                 | `false`      | `false`        | `true`          | Re‑applying edits can fail or double‑apply      |
+| `move_file`                 | `false`      | `false`        | `false`         | Move/rename only; repeat usually errors         |
+
+> Note: `idempotentHint` and `destructiveHint` are meaningful only when `readOnlyHint` is `false`, as defined by the MCP spec.
+
 ## Usage with Claude Desktop
 Add this to your `claude_desktop_config.json`:

@@ -237,7 +266,7 @@ Add the configuration to your user-level MCP configuration file. Open the Comman
 **Method 2: Workspace Configuration**
 Alternatively, you can add the configuration to a file called `.vscode/mcp.json` in your workspace. This will allow you to share the configuration with others.

-> For more details about MCP configuration in VS Code, see the [official VS Code MCP documentation](https://code.visualstudio.com/docs/copilot/mcp).
+> For more details about MCP configuration in VS Code, see the [official VS Code MCP documentation](https://code.visualstudio.com/docs/copilot/customization/mcp-servers).

 You can provide sandboxed directories to the server by mounting them to `/projects`. Adding the `ro` flag will make the directory readonly by the server.

--- a/src/filesystem/tests/structured-content.test.ts
+++ b/src/filesystem/tests/structured-content.test.ts
@@ -0,0 +1,158 @@
+import { describe, it, expect, beforeEach, afterEach } from 'vitest';
+import * as fs from 'fs/promises';
+import * as path from 'path';
+import * as os from 'os';
+import { Client } from '@modelcontextprotocol/sdk/client/index.js';
+import { StdioClientTransport } from '@modelcontextprotocol/sdk/client/stdio.js';
+import { spawn } from 'child_process';
+
+/**
+ * Integration tests to verify that tool handlers return structuredContent
+ * that matches the declared outputSchema.
+ *
+ * These tests address issues #3110, #3106, #3093 where tools were returning
+ * structuredContent: { content: [contentBlock] } (array) instead of
+ * structuredContent: { content: string } as declared in outputSchema.
+ */
+describe('structuredContent schema compliance', () => {
+  let client: Client;
+  let transport: StdioClientTransport;
+  let testDir: string;
+
+  beforeEach(async () => {
+    // Create a temp directory for testing
+    testDir = await fs.mkdtemp(path.join(os.tmpdir(), 'mcp-fs-test-'));
+
+    // Create test files
+    await fs.writeFile(path.join(testDir, 'test.txt'), 'test content');
+    await fs.mkdir(path.join(testDir, 'subdir'));
+    await fs.writeFile(path.join(testDir, 'subdir', 'nested.txt'), 'nested content');
+
+    // Start the MCP server
+    const serverPath = path.resolve(__dirname, '../dist/index.js');
+    transport = new StdioClientTransport({
+      command: 'node',
+      args: [serverPath, testDir],
+    });
+
+    client = new Client({
+      name: 'test-client',
+      version: '1.0.0',
+    }, {
+      capabilities: {}
+    });
+
+    await client.connect(transport);
+  });
+
+  afterEach(async () => {
+    await client?.close();
+    await fs.rm(testDir, { recursive: true, force: true });
+  });
+
+  describe('directory_tree', () => {
+    it('should return structuredContent.content as a string, not an array', async () => {
+      const result = await client.callTool({
+        name: 'directory_tree',
+        arguments: { path: testDir }
+      });
+
+      // The result should have structuredContent
+      expect(result.structuredContent).toBeDefined();
+
+      // structuredContent.content should be a string (matching outputSchema: { content: z.string() })
+      const structuredContent = result.structuredContent as { content: unknown };
+      expect(typeof structuredContent.content).toBe('string');
+
+      // It should NOT be an array
+      expect(Array.isArray(structuredContent.content)).toBe(false);
+
+      // The content should be valid JSON representing the tree
+      const treeData = JSON.parse(structuredContent.content as string);
+      expect(Array.isArray(treeData)).toBe(true);
+    });
+  });
+
+  describe('list_directory_with_sizes', () => {
+    it('should return structuredContent.content as a string, not an array', async () => {
+      const result = await client.callTool({
+        name: 'list_directory_with_sizes',
+        arguments: { path: testDir }
+      });
+
+      // The result should have structuredContent
+      expect(result.structuredContent).toBeDefined();
+
+      // structuredContent.content should be a string (matching outputSchema: { content: z.string() })
+      const structuredContent = result.structuredContent as { content: unknown };
+      expect(typeof structuredContent.content).toBe('string');
+
+      // It should NOT be an array
+      expect(Array.isArray(structuredContent.content)).toBe(false);
+
+      // The content should contain directory listing info
+      expect(structuredContent.content).toContain('[FILE]');
+    });
+  });
+
+  describe('move_file', () => {
+    it('should return structuredContent.content as a string, not an array', async () => {
+      const sourcePath = path.join(testDir, 'test.txt');
+      const destPath = path.join(testDir, 'moved.txt');
+
+      const result = await client.callTool({
+        name: 'move_file',
+        arguments: {
+          source: sourcePath,
+          destination: destPath
+        }
+      });
+
+      // The result should have structuredContent
+      expect(result.structuredContent).toBeDefined();
+
+      // structuredContent.content should be a string (matching outputSchema: { content: z.string() })
+      const structuredContent = result.structuredContent as { content: unknown };
+      expect(typeof structuredContent.content).toBe('string');
+
+      // It should NOT be an array
+      expect(Array.isArray(structuredContent.content)).toBe(false);
+
+      // The content should contain success message
+      expect(structuredContent.content).toContain('Successfully moved');
+    });
+  });
+
+  describe('list_directory (control - already working)', () => {
+    it('should return structuredContent.content as a string', async () => {
+      const result = await client.callTool({
+        name: 'list_directory',
+        arguments: { path: testDir }
+      });
+
+      expect(result.structuredContent).toBeDefined();
+
+      const structuredContent = result.structuredContent as { content: unknown };
+      expect(typeof structuredContent.content).toBe('string');
+      expect(Array.isArray(structuredContent.content)).toBe(false);
+    });
+  });
+
+  describe('search_files (control - already working)', () => {
+    it('should return structuredContent.content as a string', async () => {
+      const result = await client.callTool({
+        name: 'search_files',
+        arguments: {
+          path: testDir,
+          pattern: '*.txt'
+        }
+      });
+
+      expect(result.structuredContent).toBeDefined();
+
+      const structuredContent = result.structuredContent as { content: unknown };
+      expect(typeof structuredContent.content).toBe('string');
+      expect(Array.isArray(structuredContent.content)).toBe(false);
+    });
+  });
+});
--- a/src/filesystem/index.ts
+++ b/src/filesystem/index.ts
--- a/src/filesystem/package.json
+++ b/src/filesystem/package.json
@@ -3,9 +3,14 @@
  "version": "0.6.3",
  "description": "MCP server for filesystem access",
  "license": "MIT",
+  "mcpName": "io.github.modelcontextprotocol/server-filesystem",
  "author": "Anthropic, PBC (https://anthropic.com)",
  "homepage": "https://modelcontextprotocol.io",
  "bugs": "https://github.com/modelcontextprotocol/servers/issues",
+  "repository": {
+    "type": "git",
+    "url": "https://github.com/modelcontextprotocol/servers.git"
+  },
  "type": "module",
  "bin": {
    "mcp-server-filesystem": "dist/index.js"
@@ -20,9 +25,9 @@
    "test": "vitest run --coverage"
  },
  "dependencies": {
-    "@modelcontextprotocol/sdk": "^1.19.1",
+    "@modelcontextprotocol/sdk": "^1.24.0",
    "diff": "^5.1.0",
-    "glob": "^10.3.10",
+    "glob": "^10.5.0",
    "minimatch": "^10.0.1",
    "zod-to-json-schema": "^3.23.5"
  },
--- a/src/filesystem/tsconfig.json
+++ b/src/filesystem/tsconfig.json
@@ -12,6 +12,7 @@
  "exclude": [
    "**/__tests__/**",
    "**/*.test.ts",
-    "**/*.spec.ts"
+    "**/*.spec.ts",
+    "vitest.config.ts"
  ]
 }
--- a/src/git/Dockerfile
+++ b/src/git/Dockerfile
@@ -14,13 +14,13 @@ ENV UV_LINK_MODE=copy
 RUN --mount=type=cache,target=/root/.cache/uv \
    --mount=type=bind,source=uv.lock,target=uv.lock \
    --mount=type=bind,source=pyproject.toml,target=pyproject.toml \
-    uv sync --frozen --no-install-project --no-dev --no-editable
+    uv sync --locked --no-install-project --no-dev --no-editable

 # Then, add the rest of the project source code and install it
 # Installing separately from its dependencies allows optimal layer caching
 ADD . /app
 RUN --mount=type=cache,target=/root/.cache/uv \
-    uv sync --frozen --no-dev --no-editable
+    uv sync --locked --no-dev --no-editable

 FROM python:3.12-slim-bookworm

--- a/src/git/README.md
+++ b/src/git/README.md
@@ -1,5 +1,7 @@
 # mcp-server-git: A git MCP server

+<!-- mcp-name: io.github.modelcontextprotocol/server-git -->
+
 ## Overview

 A Model Context Protocol server for Git repository interaction and automation. This server provides tools to read, search, and manipulate Git repositories via Large Language Models.
@@ -178,7 +180,7 @@ Add the configuration to your user-level MCP configuration file. Open the Comman
 **Method 2: Workspace Configuration**
 Alternatively, you can add the configuration to a file called `.vscode/mcp.json` in your workspace. This will allow you to share the configuration with others.

-> For more details about MCP configuration in VS Code, see the [official VS Code MCP documentation](https://code.visualstudio.com/docs/copilot/mcp).
+> For more details about MCP configuration in VS Code, see the [official VS Code MCP documentation](https://code.visualstudio.com/docs/copilot/customization/mcp-servers).

 ```json
 {
--- a/src/git/pyproject.toml
+++ b/src/git/pyproject.toml
@@ -17,7 +17,7 @@ classifiers = [
 ]
 dependencies = [
    "click>=8.1.7",
-    "gitpython>=3.1.43",
+    "gitpython>=3.1.45",
    "mcp>=1.0.0",
    "pydantic>=2.0.0",
 ]
@@ -29,8 +29,8 @@ mcp-server-git = "mcp_server_git:main"
 requires = ["hatchling"]
 build-backend = "hatchling.build"

-[tool.uv]
-dev-dependencies = ["pyright>=1.1.389", "ruff>=0.7.3", "pytest>=8.0.0"]
+[dependency-groups]
+dev = ["pyright>=1.1.407", "ruff>=0.7.3", "pytest>=8.0.0"]

 [tool.pytest.ini_options]
 testpaths = ["tests"]
--- a/src/git/src/mcp_server_git/server.py
+++ b/src/git/src/mcp_server_git/server.py
@@ -142,9 +142,9 @@ def git_log(repo: git.Repo, max_count: int = 10, start_timestamp: Optional[str]
        if end_timestamp:
            args.extend(['--until', end_timestamp])
        args.extend(['--format=%H%n%an%n%ad%n%s%n'])
-        
+
        log_output = repo.git.log(*args).split('\n')
-        
+
        log = []
        # Process commits in groups of 4 (hash, author, date, message)
        for i in range(0, len(log_output), 4):
@@ -199,7 +199,12 @@ def git_show(repo: git.Repo, revision: str) -> str:
        diff = commit.diff(git.NULL_TREE, create_patch=True)
    for d in diff:
        output.append(f"\n--- {d.a_path}\n+++ {d.b_path}\n")
-        output.append(d.diff.decode('utf-8'))
+        if d.diff is None:
+            continue
+        if isinstance(d.diff, bytes):
+            output.append(d.diff.decode('utf-8'))
+        else:
+            output.append(d.diff)
    return "".join(output)

 def git_branch(repo: git.Repo, branch_type: str, contains: str | None = None, not_contains: str | None = None) -> str:
@@ -343,7 +348,7 @@ async def serve(repository: Path | None) -> None:
    @server.call_tool()
    async def call_tool(name: str, arguments: dict) -> list[TextContent]:
        repo_path = Path(arguments["repo_path"])
-        
+
        # For all commands, we need an existing repo
        repo = git.Repo(repo_path)

@@ -400,7 +405,7 @@ async def serve(repository: Path | None) -> None:
            # Update the LOG case:
            case GitTools.LOG:
                log = git_log(
-                    repo, 
+                    repo,
                    arguments.get("max_count", 10),
                    arguments.get("start_timestamp"),
                    arguments.get("end_timestamp")
@@ -409,7 +414,7 @@ async def serve(repository: Path | None) -> None:
                    type="text",
                    text="Commit history:\n" + "\n".join(log)
                )]
-            
+
            case GitTools.CREATE_BRANCH:
                result = git_create_branch(
                    repo,
@@ -446,7 +451,7 @@ async def serve(repository: Path | None) -> None:
                    type="text",
                    text=result
                )]
-            
+
            case _:
                raise ValueError(f"Unknown tool: {name}")

--- a/src/git/tests/test_server.py
+++ b/src/git/tests/test_server.py
@@ -1,7 +1,20 @@
 import pytest
 from pathlib import Path
 import git
-from mcp_server_git.server import git_checkout, git_branch, git_add, git_status
+from mcp_server_git.server import (
+    git_checkout,
+    git_branch,
+    git_add,
+    git_status,
+    git_diff_unstaged,
+    git_diff_staged,
+    git_diff,
+    git_commit,
+    git_reset,
+    git_log,
+    git_create_branch,
+    git_show
+)
 import shutil

@pytest.fixture
@@ -35,8 +48,6 @@ def test_git_branch_local(test_repository):
    assert "new-branch-local" in result

 def test_git_branch_remote(test_repository):
-    # GitPython does not easily support creating remote branches without a remote.
-    # This test will check the behavior when 'remote' is specified without actual remotes.
    result = git_branch(test_repository, "remote")
    assert "" == result.strip()  # Should be empty if no remote branches

@@ -46,28 +57,32 @@ def test_git_branch_all(test_repository):
    assert "new-branch-all" in result

 def test_git_branch_contains(test_repository):
+    # Get the default branch name (could be "main" or "master")
+    default_branch = test_repository.active_branch.name
    # Create a new branch and commit to it
    test_repository.git.checkout("-b", "feature-branch")
    Path(test_repository.working_dir / Path("feature.txt")).write_text("feature content")
    test_repository.index.add(["feature.txt"])
    commit = test_repository.index.commit("feature commit")
-    test_repository.git.checkout("master")
+    test_repository.git.checkout(default_branch)

    result = git_branch(test_repository, "local", contains=commit.hexsha)
    assert "feature-branch" in result
-    assert "master" not in result
+    assert default_branch not in result

 def test_git_branch_not_contains(test_repository):
+    # Get the default branch name (could be "main" or "master")
+    default_branch = test_repository.active_branch.name
    # Create a new branch and commit to it
    test_repository.git.checkout("-b", "another-feature-branch")
    Path(test_repository.working_dir / Path("another_feature.txt")).write_text("another feature content")
    test_repository.index.add(["another_feature.txt"])
    commit = test_repository.index.commit("another feature commit")
-    test_repository.git.checkout("master")
+    test_repository.git.checkout(default_branch)

    result = git_branch(test_repository, "local", not_contains=commit.hexsha)
    assert "another-feature-branch" not in result
-    assert "master" in result
+    assert default_branch in result

 def test_git_add_all_files(test_repository):
    file_path = Path(test_repository.working_dir) / "all_file.txt"
@@ -97,3 +112,139 @@ def test_git_status(test_repository):

    assert result is not None
    assert "On branch" in result or "branch" in result.lower()
+
+def test_git_diff_unstaged(test_repository):
+    file_path = Path(test_repository.working_dir) / "test.txt"
+    file_path.write_text("modified content")
+
+    result = git_diff_unstaged(test_repository)
+
+    assert "test.txt" in result
+    assert "modified content" in result
+
+def test_git_diff_unstaged_empty(test_repository):
+    result = git_diff_unstaged(test_repository)
+
+    assert result == ""
+
+def test_git_diff_staged(test_repository):
+    file_path = Path(test_repository.working_dir) / "staged_file.txt"
+    file_path.write_text("staged content")
+    test_repository.index.add(["staged_file.txt"])
+
+    result = git_diff_staged(test_repository)
+
+    assert "staged_file.txt" in result
+    assert "staged content" in result
+
+def test_git_diff_staged_empty(test_repository):
+    result = git_diff_staged(test_repository)
+
+    assert result == ""
+
+def test_git_diff(test_repository):
+    # Get the default branch name (could be "main" or "master")
+    default_branch = test_repository.active_branch.name
+    test_repository.git.checkout("-b", "feature-diff")
+    file_path = Path(test_repository.working_dir) / "test.txt"
+    file_path.write_text("feature changes")
+    test_repository.index.add(["test.txt"])
+    test_repository.index.commit("feature commit")
+
+    result = git_diff(test_repository, default_branch)
+
+    assert "test.txt" in result
+    assert "feature changes" in result
+
+def test_git_commit(test_repository):
+    file_path = Path(test_repository.working_dir) / "commit_test.txt"
+    file_path.write_text("content to commit")
+    test_repository.index.add(["commit_test.txt"])
+
+    result = git_commit(test_repository, "test commit message")
+
+    assert "Changes committed successfully with hash" in result
+
+    latest_commit = test_repository.head.commit
+    assert latest_commit.message.strip() == "test commit message"
+
+def test_git_reset(test_repository):
+    file_path = Path(test_repository.working_dir) / "reset_test.txt"
+    file_path.write_text("content to reset")
+    test_repository.index.add(["reset_test.txt"])
+
+    staged_before = [item.a_path for item in test_repository.index.diff("HEAD")]
+    assert "reset_test.txt" in staged_before
+
+    result = git_reset(test_repository)
+
+    assert result == "All staged changes reset"
+
+    staged_after = [item.a_path for item in test_repository.index.diff("HEAD")]
+    assert "reset_test.txt" not in staged_after
+
+def test_git_log(test_repository):
+    for i in range(3):
+        file_path = Path(test_repository.working_dir) / f"log_test_{i}.txt"
+        file_path.write_text(f"content {i}")
+        test_repository.index.add([f"log_test_{i}.txt"])
+        test_repository.index.commit(f"commit {i}")
+
+    result = git_log(test_repository, max_count=2)
+
+    assert isinstance(result, list)
+    assert len(result) == 2
+    assert "Commit:" in result[0]
+    assert "Author:" in result[0]
+    assert "Date:" in result[0]
+    assert "Message:" in result[0]
+
+def test_git_log_default(test_repository):
+    result = git_log(test_repository)
+
+    assert isinstance(result, list)
+    assert len(result) >= 1
+    assert "initial commit" in result[0]
+
+def test_git_create_branch(test_repository):
+    result = git_create_branch(test_repository, "new-feature-branch")
+
+    assert "Created branch 'new-feature-branch'" in result
+
+    branches = [ref.name for ref in test_repository.references]
+    assert "new-feature-branch" in branches
+
+def test_git_create_branch_from_base(test_repository):
+    test_repository.git.checkout("-b", "base-branch")
+    file_path = Path(test_repository.working_dir) / "base.txt"
+    file_path.write_text("base content")
+    test_repository.index.add(["base.txt"])
+    test_repository.index.commit("base commit")
+
+    result = git_create_branch(test_repository, "derived-branch", "base-branch")
+
+    assert "Created branch 'derived-branch' from 'base-branch'" in result
+
+def test_git_show(test_repository):
+    file_path = Path(test_repository.working_dir) / "show_test.txt"
+    file_path.write_text("show content")
+    test_repository.index.add(["show_test.txt"])
+    test_repository.index.commit("show test commit")
+
+    commit_sha = test_repository.head.commit.hexsha
+
+    result = git_show(test_repository, commit_sha)
+
+    assert "Commit:" in result
+    assert "Author:" in result
+    assert "show test commit" in result
+    assert "show_test.txt" in result
+
+def test_git_show_initial_commit(test_repository):
+    initial_commit = list(test_repository.iter_commits())[-1]
+
+    result = git_show(test_repository, initial_commit.hexsha)
+
+    assert "Commit:" in result
+    assert "initial commit" in result
+    assert "test.txt" in result
--- a/src/git/uv.lock
+++ b/src/git/uv.lock
@@ -1,13 +1,14 @@
 version = 1
+revision = 3
 requires-python = ">=3.10"

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 version = "0.7.0"
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@@ -20,18 +21,18 @@ dependencies = [
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 version = "4.12.2"
 source = { registry = "https://pypi.org/simple" }
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+    { url = "https://files.pythonhosted.org/packages/26/9f/ad63fc0248c5379346306f8668cda6e2e2e9c95e01216d2b8ffd9ff037d0/typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d", size = 37438, upload-time = "2024-06-07T18:52:13.582Z" },
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 [[package]]
@@ -475,7 +476,7 @@ dependencies = [
    { name = "h11" },
    { name = "typing-extensions", marker = "python_full_version < '3.11'" },
 ]
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+sdist = { url = "https://files.pythonhosted.org/packages/6a/3c/21dba3e7d76138725ef307e3d7ddd29b763119b3aa459d02cc05fefcff75/uvicorn-0.32.1.tar.gz", hash = "sha256:ee9519c246a72b1c084cea8d3b44ed6026e78a4a309cbedae9c37e4cb9fbb175", size = 77630, upload-time = "2024-11-20T19:41:13.341Z" }
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+    { url = "https://files.pythonhosted.org/packages/50/c1/2d27b0a15826c2b71dcf6e2f5402181ef85acf439617bb2f1453125ce1f3/uvicorn-0.32.1-py3-none-any.whl", hash = "sha256:82ad92fd58da0d12af7482ecdb5f2470a04c9c9a53ced65b9bbb4a205377602e", size = 63828, upload-time = "2024-11-20T19:41:11.244Z" },
 ]
--- a/src/memory/README.md
+++ b/src/memory/README.md
@@ -198,7 +198,7 @@ Add the configuration to your user-level MCP configuration file. Open the Comman
 **Method 2: Workspace Configuration**
 Alternatively, you can add the configuration to a file called `.vscode/mcp.json` in your workspace. This will allow you to share the configuration with others.

-> For more details about MCP configuration in VS Code, see the [official VS Code MCP documentation](https://code.visualstudio.com/docs/copilot/mcp).
+> For more details about MCP configuration in VS Code, see the [official VS Code MCP documentation](https://code.visualstudio.com/docs/copilot/customization/mcp-servers).

 #### NPX

--- a/src/memory/index.ts
+++ b/src/memory/index.ts
@@ -1,11 +1,8 @@
 #!/usr/bin/env node

-import { Server } from "@modelcontextprotocol/sdk/server/index.js";
+import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
 import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
-import {
-  CallToolRequestSchema,
-  ListToolsRequestSchema,
-} from "@modelcontextprotocol/sdk/types.js";
+import { z } from "zod";
 import { promises as fs } from 'fs';
 import path from 'path';
 import { fileURLToPath } from 'url';
@@ -226,243 +223,235 @@ export class KnowledgeGraphManager {

 let knowledgeGraphManager: KnowledgeGraphManager;

+// Zod schemas for entities and relations
+const EntitySchema = z.object({
+  name: z.string().describe("The name of the entity"),
+  entityType: z.string().describe("The type of the entity"),
+  observations: z.array(z.string()).describe("An array of observation contents associated with the entity")
+});
+
+const RelationSchema = z.object({
+  from: z.string().describe("The name of the entity where the relation starts"),
+  to: z.string().describe("The name of the entity where the relation ends"),
+  relationType: z.string().describe("The type of the relation")
+});

 // The server instance and tools exposed to Claude
-const server = new Server({
+const server = new McpServer({
  name: "memory-server",
  version: "0.6.3",
-},    {
-    capabilities: {
-      tools: {},
+});
+
+// Register create_entities tool
+server.registerTool(
+  "create_entities",
+  {
+    title: "Create Entities",
+    description: "Create multiple new entities in the knowledge graph",
+    inputSchema: {
+      entities: z.array(EntitySchema)
    },
-  },);
-
-server.setRequestHandler(ListToolsRequestSchema, async () => {
-  return {
-    tools: [
-      {
-        name: "create_entities",
-        description: "Create multiple new entities in the knowledge graph",
-        inputSchema: {
-          type: "object",
-          properties: {
-            entities: {
-              type: "array",
-              items: {
-                type: "object",
-                properties: {
-                  name: { type: "string", description: "The name of the entity" },
-                  entityType: { type: "string", description: "The type of the entity" },
-                  observations: { 
-                    type: "array", 
-                    items: { type: "string" },
-                    description: "An array of observation contents associated with the entity"
-                  },
-                },
-                required: ["name", "entityType", "observations"],
-                additionalProperties: false,
-              },
-            },
-          },
-          required: ["entities"],
-          additionalProperties: false,
-        },
-      },
-      {
-        name: "create_relations",
-        description: "Create multiple new relations between entities in the knowledge graph. Relations should be in active voice",
-        inputSchema: {
-          type: "object",
-          properties: {
-            relations: {
-              type: "array",
-              items: {
-                type: "object",
-                properties: {
-                  from: { type: "string", description: "The name of the entity where the relation starts" },
-                  to: { type: "string", description: "The name of the entity where the relation ends" },
-                  relationType: { type: "string", description: "The type of the relation" },
-                },
-                required: ["from", "to", "relationType"],
-                additionalProperties: false,
-              },
-            },
-          },
-          required: ["relations"],
-          additionalProperties: false,
-        },
-      },
-      {
-        name: "add_observations",
-        description: "Add new observations to existing entities in the knowledge graph",
-        inputSchema: {
-          type: "object",
-          properties: {
-            observations: {
-              type: "array",
-              items: {
-                type: "object",
-                properties: {
-                  entityName: { type: "string", description: "The name of the entity to add the observations to" },
-                  contents: { 
-                    type: "array", 
-                    items: { type: "string" },
-                    description: "An array of observation contents to add"
-                  },
-                },
-                required: ["entityName", "contents"],
-                additionalProperties: false,
-              },
-            },
-          },
-          required: ["observations"],
-          additionalProperties: false,
-        },
-      },
-      {
-        name: "delete_entities",
-        description: "Delete multiple entities and their associated relations from the knowledge graph",
-        inputSchema: {
-          type: "object",
-          properties: {
-            entityNames: { 
-              type: "array", 
-              items: { type: "string" },
-              description: "An array of entity names to delete" 
-            },
-          },
-          required: ["entityNames"],
-          additionalProperties: false,
-        },
-      },
-      {
-        name: "delete_observations",
-        description: "Delete specific observations from entities in the knowledge graph",
-        inputSchema: {
-          type: "object",
-          properties: {
-            deletions: {
-              type: "array",
-              items: {
-                type: "object",
-                properties: {
-                  entityName: { type: "string", description: "The name of the entity containing the observations" },
-                  observations: { 
-                    type: "array", 
-                    items: { type: "string" },
-                    description: "An array of observations to delete"
-                  },
-                },
-                required: ["entityName", "observations"],
-                additionalProperties: false,
-              },
-            },
-          },
-          required: ["deletions"],
-          additionalProperties: false,
-        },
-      },
-      {
-        name: "delete_relations",
-        description: "Delete multiple relations from the knowledge graph",
-        inputSchema: {
-          type: "object",
-          properties: {
-            relations: { 
-              type: "array", 
-              items: {
-                type: "object",
-                properties: {
-                  from: { type: "string", description: "The name of the entity where the relation starts" },
-                  to: { type: "string", description: "The name of the entity where the relation ends" },
-                  relationType: { type: "string", description: "The type of the relation" },
-                },
-                required: ["from", "to", "relationType"],
-                additionalProperties: false,
-              },
-              description: "An array of relations to delete" 
-            },
-          },
-          required: ["relations"],
-          additionalProperties: false,
-        },
-      },
-      {
-        name: "read_graph",
-        description: "Read the entire knowledge graph",
-        inputSchema: {
-          type: "object",
-          properties: {},
-          additionalProperties: false,
-        },
-      },
-      {
-        name: "search_nodes",
-        description: "Search for nodes in the knowledge graph based on a query",
-        inputSchema: {
-          type: "object",
-          properties: {
-            query: { type: "string", description: "The search query to match against entity names, types, and observation content" },
-          },
-          required: ["query"],
-          additionalProperties: false,
-        },
-      },
-      {
-        name: "open_nodes",
-        description: "Open specific nodes in the knowledge graph by their names",
-        inputSchema: {
-          type: "object",
-          properties: {
-            names: {
-              type: "array",
-              items: { type: "string" },
-              description: "An array of entity names to retrieve",
-            },
-          },
-          required: ["names"],
-          additionalProperties: false,
-        },
-      },
-    ],
-  };
-});
-
-server.setRequestHandler(CallToolRequestSchema, async (request) => {
-  const { name, arguments: args } = request.params;
-
-  if (name === "read_graph") {
-    return { content: [{ type: "text", text: JSON.stringify(await knowledgeGraphManager.readGraph(), null, 2) }] };
+    outputSchema: {
+      entities: z.array(EntitySchema)
+    }
+  },
+  async ({ entities }) => {
+    const result = await knowledgeGraphManager.createEntities(entities);
+    return {
+      content: [{ type: "text" as const, text: JSON.stringify(result, null, 2) }],
+      structuredContent: { entities: result }
+    };
  }
+);

-  if (!args) {
-    throw new Error(`No arguments provided for tool: ${name}`);
+// Register create_relations tool
+server.registerTool(
+  "create_relations",
+  {
+    title: "Create Relations",
+    description: "Create multiple new relations between entities in the knowledge graph. Relations should be in active voice",
+    inputSchema: {
+      relations: z.array(RelationSchema)
+    },
+    outputSchema: {
+      relations: z.array(RelationSchema)
+    }
+  },
+  async ({ relations }) => {
+    const result = await knowledgeGraphManager.createRelations(relations);
+    return {
+      content: [{ type: "text" as const, text: JSON.stringify(result, null, 2) }],
+      structuredContent: { relations: result }
+    };
  }
+);

-  switch (name) {
-    case "create_entities":
-      return { content: [{ type: "text", text: JSON.stringify(await knowledgeGraphManager.createEntities(args.entities as Entity[]), null, 2) }] };
-    case "create_relations":
-      return { content: [{ type: "text", text: JSON.stringify(await knowledgeGraphManager.createRelations(args.relations as Relation[]), null, 2) }] };
-    case "add_observations":
-      return { content: [{ type: "text", text: JSON.stringify(await knowledgeGraphManager.addObservations(args.observations as { entityName: string; contents: string[] }[]), null, 2) }] };
-    case "delete_entities":
-      await knowledgeGraphManager.deleteEntities(args.entityNames as string[]);
-      return { content: [{ type: "text", text: "Entities deleted successfully" }] };
-    case "delete_observations":
-      await knowledgeGraphManager.deleteObservations(args.deletions as { entityName: string; observations: string[] }[]);
-      return { content: [{ type: "text", text: "Observations deleted successfully" }] };
-    case "delete_relations":
-      await knowledgeGraphManager.deleteRelations(args.relations as Relation[]);
-      return { content: [{ type: "text", text: "Relations deleted successfully" }] };
-    case "search_nodes":
-      return { content: [{ type: "text", text: JSON.stringify(await knowledgeGraphManager.searchNodes(args.query as string), null, 2) }] };
-    case "open_nodes":
-      return { content: [{ type: "text", text: JSON.stringify(await knowledgeGraphManager.openNodes(args.names as string[]), null, 2) }] };
-    default:
-      throw new Error(`Unknown tool: ${name}`);
+// Register add_observations tool
+server.registerTool(
+  "add_observations",
+  {
+    title: "Add Observations",
+    description: "Add new observations to existing entities in the knowledge graph",
+    inputSchema: {
+      observations: z.array(z.object({
+        entityName: z.string().describe("The name of the entity to add the observations to"),
+        contents: z.array(z.string()).describe("An array of observation contents to add")
+      }))
+    },
+    outputSchema: {
+      results: z.array(z.object({
+        entityName: z.string(),
+        addedObservations: z.array(z.string())
+      }))
+    }
+  },
+  async ({ observations }) => {
+    const result = await knowledgeGraphManager.addObservations(observations);
+    return {
+      content: [{ type: "text" as const, text: JSON.stringify(result, null, 2) }],
+      structuredContent: { results: result }
+    };
  }
-});
+);
+
+// Register delete_entities tool
+server.registerTool(
+  "delete_entities",
+  {
+    title: "Delete Entities",
+    description: "Delete multiple entities and their associated relations from the knowledge graph",
+    inputSchema: {
+      entityNames: z.array(z.string()).describe("An array of entity names to delete")
+    },
+    outputSchema: {
+      success: z.boolean(),
+      message: z.string()
+    }
+  },
+  async ({ entityNames }) => {
+    await knowledgeGraphManager.deleteEntities(entityNames);
+    return {
+      content: [{ type: "text" as const, text: "Entities deleted successfully" }],
+      structuredContent: { success: true, message: "Entities deleted successfully" }
+    };
+  }
+);
+
+// Register delete_observations tool
+server.registerTool(
+  "delete_observations",
+  {
+    title: "Delete Observations",
+    description: "Delete specific observations from entities in the knowledge graph",
+    inputSchema: {
+      deletions: z.array(z.object({
+        entityName: z.string().describe("The name of the entity containing the observations"),
+        observations: z.array(z.string()).describe("An array of observations to delete")
+      }))
+    },
+    outputSchema: {
+      success: z.boolean(),
+      message: z.string()
+    }
+  },
+  async ({ deletions }) => {
+    await knowledgeGraphManager.deleteObservations(deletions);
+    return {
+      content: [{ type: "text" as const, text: "Observations deleted successfully" }],
+      structuredContent: { success: true, message: "Observations deleted successfully" }
+    };
+  }
+);
+
+// Register delete_relations tool
+server.registerTool(
+  "delete_relations",
+  {
+    title: "Delete Relations",
+    description: "Delete multiple relations from the knowledge graph",
+    inputSchema: {
+      relations: z.array(RelationSchema).describe("An array of relations to delete")
+    },
+    outputSchema: {
+      success: z.boolean(),
+      message: z.string()
+    }
+  },
+  async ({ relations }) => {
+    await knowledgeGraphManager.deleteRelations(relations);
+    return {
+      content: [{ type: "text" as const, text: "Relations deleted successfully" }],
+      structuredContent: { success: true, message: "Relations deleted successfully" }
+    };
+  }
+);
+
+// Register read_graph tool
+server.registerTool(
+  "read_graph",
+  {
+    title: "Read Graph",
+    description: "Read the entire knowledge graph",
+    inputSchema: {},
+    outputSchema: {
+      entities: z.array(EntitySchema),
+      relations: z.array(RelationSchema)
+    }
+  },
+  async () => {
+    const graph = await knowledgeGraphManager.readGraph();
+    return {
+      content: [{ type: "text" as const, text: JSON.stringify(graph, null, 2) }],
+      structuredContent: { ...graph }
+    };
+  }
+);
+
+// Register search_nodes tool
+server.registerTool(
+  "search_nodes",
+  {
+    title: "Search Nodes",
+    description: "Search for nodes in the knowledge graph based on a query",
+    inputSchema: {
+      query: z.string().describe("The search query to match against entity names, types, and observation content")
+    },
+    outputSchema: {
+      entities: z.array(EntitySchema),
+      relations: z.array(RelationSchema)
+    }
+  },
+  async ({ query }) => {
+    const graph = await knowledgeGraphManager.searchNodes(query);
+    return {
+      content: [{ type: "text" as const, text: JSON.stringify(graph, null, 2) }],
+      structuredContent: { ...graph }
+    };
+  }
+);
+
+// Register open_nodes tool
+server.registerTool(
+  "open_nodes",
+  {
+    title: "Open Nodes",
+    description: "Open specific nodes in the knowledge graph by their names",
+    inputSchema: {
+      names: z.array(z.string()).describe("An array of entity names to retrieve")
+    },
+    outputSchema: {
+      entities: z.array(EntitySchema),
+      relations: z.array(RelationSchema)
+    }
+  },
+  async ({ names }) => {
+    const graph = await knowledgeGraphManager.openNodes(names);
+    return {
+      content: [{ type: "text" as const, text: JSON.stringify(graph, null, 2) }],
+      structuredContent: { ...graph }
+    };
+  }
+);

 async function main() {
  // Initialize memory file path with backward compatibility
--- a/src/memory/package.json
+++ b/src/memory/package.json
@@ -3,9 +3,14 @@
  "version": "0.6.3",
  "description": "MCP server for enabling memory for Claude through a knowledge graph",
  "license": "MIT",
+  "mcpName": "io.github.modelcontextprotocol/server-memory",
  "author": "Anthropic, PBC (https://anthropic.com)",
  "homepage": "https://modelcontextprotocol.io",
  "bugs": "https://github.com/modelcontextprotocol/servers/issues",
+  "repository": {
+    "type": "git",
+    "url": "https://github.com/modelcontextprotocol/servers.git"
+  },
  "type": "module",
  "bin": {
    "mcp-server-memory": "dist/index.js"
@@ -20,7 +25,7 @@
    "test": "vitest run --coverage"
  },
  "dependencies": {
-    "@modelcontextprotocol/sdk": "^1.19.1"
+    "@modelcontextprotocol/sdk": "^1.24.0"
  },
  "devDependencies": {
    "@types/node": "^22",
--- a/src/memory/tsconfig.json
+++ b/src/memory/tsconfig.json
@@ -1,11 +1,14 @@
 {
-    "extends": "../../tsconfig.json",
-    "compilerOptions": {
-      "outDir": "./dist",
-      "rootDir": "."
-    },
-    "include": [
-      "./**/*.ts"
-    ]
-  }
-  
+  "extends": "../../tsconfig.json",
+  "compilerOptions": {
+    "outDir": "./dist",
+    "rootDir": "."
+  },
+  "include": [
+    "./**/*.ts"
+  ],
+  "exclude": [
+    "**/*.test.ts",
+    "vitest.config.ts"
+  ]
+}
--- a/src/sequentialthinking/README.md
+++ b/src/sequentialthinking/README.md
@@ -96,7 +96,7 @@ Add the configuration to your user-level MCP configuration file. Open the Comman
 **Method 2: Workspace Configuration**
 Alternatively, you can add the configuration to a file called `.vscode/mcp.json` in your workspace. This will allow you to share the configuration with others.

-> For more details about MCP configuration in VS Code, see the [official VS Code MCP documentation](https://code.visualstudio.com/docs/copilot/mcp).
+> For more details about MCP configuration in VS Code, see the [official VS Code MCP documentation](https://code.visualstudio.com/docs/copilot/customization/mcp-servers).

 For NPX installation:

@@ -132,6 +132,16 @@ For Docker installation:
 }
 ```

+### Usage with Codex CLI
+
+Run the following:
+
+#### npx
+
+```bash
+codex mcp add sequential-thinking npx -y @modelcontextprotocol/server-sequential-thinking
+```
+
 ## Building

 Docker:
--- a/src/sequentialthinking/tests/lib.test.ts
+++ b/src/sequentialthinking/tests/lib.test.ts
@@ -22,107 +22,8 @@ describe('SequentialThinkingServer', () => {
    server = new SequentialThinkingServer();
  });

-  describe('processThought - validation', () => {
-    it('should reject input with missing thought', () => {
-      const input = {
-        thoughtNumber: 1,
-        totalThoughts: 3,
-        nextThoughtNeeded: true
-      };
-
-      const result = server.processThought(input);
-      expect(result.isError).toBe(true);
-      expect(result.content[0].text).toContain('Invalid thought');
-    });
-
-    it('should reject input with non-string thought', () => {
-      const input = {
-        thought: 123,
-        thoughtNumber: 1,
-        totalThoughts: 3,
-        nextThoughtNeeded: true
-      };
-
-      const result = server.processThought(input);
-      expect(result.isError).toBe(true);
-      expect(result.content[0].text).toContain('Invalid thought');
-    });
-
-    it('should reject input with missing thoughtNumber', () => {
-      const input = {
-        thought: 'Test thought',
-        totalThoughts: 3,
-        nextThoughtNeeded: true
-      };
-
-      const result = server.processThought(input);
-      expect(result.isError).toBe(true);
-      expect(result.content[0].text).toContain('Invalid thoughtNumber');
-    });
-
-    it('should reject input with non-number thoughtNumber', () => {
-      const input = {
-        thought: 'Test thought',
-        thoughtNumber: '1',
-        totalThoughts: 3,
-        nextThoughtNeeded: true
-      };
-
-      const result = server.processThought(input);
-      expect(result.isError).toBe(true);
-      expect(result.content[0].text).toContain('Invalid thoughtNumber');
-    });
-
-    it('should reject input with missing totalThoughts', () => {
-      const input = {
-        thought: 'Test thought',
-        thoughtNumber: 1,
-        nextThoughtNeeded: true
-      };
-
-      const result = server.processThought(input);
-      expect(result.isError).toBe(true);
-      expect(result.content[0].text).toContain('Invalid totalThoughts');
-    });
-
-    it('should reject input with non-number totalThoughts', () => {
-      const input = {
-        thought: 'Test thought',
-        thoughtNumber: 1,
-        totalThoughts: '3',
-        nextThoughtNeeded: true
-      };
-
-      const result = server.processThought(input);
-      expect(result.isError).toBe(true);
-      expect(result.content[0].text).toContain('Invalid totalThoughts');
-    });
-
-    it('should reject input with missing nextThoughtNeeded', () => {
-      const input = {
-        thought: 'Test thought',
-        thoughtNumber: 1,
-        totalThoughts: 3
-      };
-
-      const result = server.processThought(input);
-      expect(result.isError).toBe(true);
-      expect(result.content[0].text).toContain('Invalid nextThoughtNeeded');
-    });
-
-    it('should reject input with non-boolean nextThoughtNeeded', () => {
-      const input = {
-        thought: 'Test thought',
-        thoughtNumber: 1,
-        totalThoughts: 3,
-        nextThoughtNeeded: 'true'
-      };
-
-      const result = server.processThought(input);
-      expect(result.isError).toBe(true);
-      expect(result.content[0].text).toContain('Invalid nextThoughtNeeded');
-    });
-  });
+  // Note: Input validation tests removed - validation now happens at the tool
+  // registration layer via Zod schemas before processThought is called

  describe('processThought - valid inputs', () => {
    it('should accept valid basic thought', () => {
@@ -275,19 +176,6 @@ describe('SequentialThinkingServer', () => {
  });

  describe('processThought - edge cases', () => {
-    it('should reject empty thought string', () => {
-      const input = {
-        thought: '',
-        thoughtNumber: 1,
-        totalThoughts: 1,
-        nextThoughtNeeded: false
-      };
-
-      const result = server.processThought(input);
-      expect(result.isError).toBe(true);
-      expect(result.content[0].text).toContain('Invalid thought');
-    });
-
    it('should handle very long thought strings', () => {
      const input = {
        thought: 'a'.repeat(10000),
@@ -349,25 +237,6 @@ describe('SequentialThinkingServer', () => {
      expect(result.content[0]).toHaveProperty('text');
    });

-    it('should return correct error structure on failure', () => {
-      const input = {
-        thought: 'Test',
-        thoughtNumber: 1,
-        totalThoughts: 1
-        // missing nextThoughtNeeded
-      };
-
-      const result = server.processThought(input);
-
-      expect(result).toHaveProperty('isError', true);
-      expect(result).toHaveProperty('content');
-      expect(Array.isArray(result.content)).toBe(true);
-
-      const errorData = JSON.parse(result.content[0].text);
-      expect(errorData).toHaveProperty('error');
-      expect(errorData).toHaveProperty('status', 'failed');
-    });
-
    it('should return valid JSON in response', () => {
      const input = {
        thought: 'Test thought',
--- a/src/sequentialthinking/index.ts
+++ b/src/sequentialthinking/index.ts
@@ -1,17 +1,22 @@
 #!/usr/bin/env node

-import { Server } from "@modelcontextprotocol/sdk/server/index.js";
+import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
 import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
-import {
-  CallToolRequestSchema,
-  ListToolsRequestSchema,
-  Tool,
-} from "@modelcontextprotocol/sdk/types.js";
+import { z } from "zod";
 import { SequentialThinkingServer } from './lib.js';

-const SEQUENTIAL_THINKING_TOOL: Tool = {
-  name: "sequentialthinking",
-  description: `A detailed tool for dynamic and reflective problem-solving through thoughts.
+const server = new McpServer({
+  name: "sequential-thinking-server",
+  version: "0.2.0",
+});
+
+const thinkingServer = new SequentialThinkingServer();
+
+server.registerTool(
+  "sequentialthinking",
+  {
+    title: "Sequential Thinking",
+    description: `A detailed tool for dynamic and reflective problem-solving through thoughts.
 This tool helps analyze problems through a flexible thinking process that can adapt and evolve.
 Each thought can build on, question, or revise previous insights as understanding deepens.

@@ -37,21 +42,21 @@ Key features:

 Parameters explained:
 - thought: Your current thinking step, which can include:
-* Regular analytical steps
-* Revisions of previous thoughts
-* Questions about previous decisions
-* Realizations about needing more analysis
-* Changes in approach
-* Hypothesis generation
-* Hypothesis verification
- next_thought_needed: True if you need more thinking, even if at what seemed like the end
- thought_number: Current number in sequence (can go beyond initial total if needed)
- total_thoughts: Current estimate of thoughts needed (can be adjusted up/down)
- is_revision: A boolean indicating if this thought revises previous thinking
- revises_thought: If is_revision is true, which thought number is being reconsidered
- branch_from_thought: If branching, which thought number is the branching point
- branch_id: Identifier for the current branch (if any)
- needs_more_thoughts: If reaching end but realizing more thoughts needed
+  * Regular analytical steps
+  * Revisions of previous thoughts
+  * Questions about previous decisions
+  * Realizations about needing more analysis
+  * Changes in approach
+  * Hypothesis generation
+  * Hypothesis verification
+- nextThoughtNeeded: True if you need more thinking, even if at what seemed like the end
+- thoughtNumber: Current number in sequence (can go beyond initial total if needed)
+- totalThoughts: Current estimate of thoughts needed (can be adjusted up/down)
+- isRevision: A boolean indicating if this thought revises previous thinking
+- revisesThought: If is_revision is true, which thought number is being reconsidered
+- branchFromThought: If branching, which thought number is the branching point
+- branchId: Identifier for the current branch (if any)
+- needsMoreThoughts: If reaching end but realizing more thoughts needed

 You should:
 1. Start with an initial estimate of needed thoughts, but be ready to adjust
@@ -64,87 +69,43 @@ You should:
 8. Verify the hypothesis based on the Chain of Thought steps
 9. Repeat the process until satisfied with the solution
 10. Provide a single, ideally correct answer as the final output
-11. Only set next_thought_needed to false when truly done and a satisfactory answer is reached`,
-  inputSchema: {
-    type: "object",
-    properties: {
-      thought: {
-        type: "string",
-        description: "Your current thinking step"
-      },
-      nextThoughtNeeded: {
-        type: "boolean",
-        description: "Whether another thought step is needed"
-      },
-      thoughtNumber: {
-        type: "integer",
-        description: "Current thought number (numeric value, e.g., 1, 2, 3)",
-        minimum: 1
-      },
-      totalThoughts: {
-        type: "integer",
-        description: "Estimated total thoughts needed (numeric value, e.g., 5, 10)",
-        minimum: 1
-      },
-      isRevision: {
-        type: "boolean",
-        description: "Whether this revises previous thinking"
-      },
-      revisesThought: {
-        type: "integer",
-        description: "Which thought is being reconsidered",
-        minimum: 1
-      },
-      branchFromThought: {
-        type: "integer",
-        description: "Branching point thought number",
-        minimum: 1
-      },
-      branchId: {
-        type: "string",
-        description: "Branch identifier"
-      },
-      needsMoreThoughts: {
-        type: "boolean",
-        description: "If more thoughts are needed"
-      }
+11. Only set nextThoughtNeeded to false when truly done and a satisfactory answer is reached`,
+    inputSchema: {
+      thought: z.string().describe("Your current thinking step"),
+      nextThoughtNeeded: z.boolean().describe("Whether another thought step is needed"),
+      thoughtNumber: z.number().int().min(1).describe("Current thought number (numeric value, e.g., 1, 2, 3)"),
+      totalThoughts: z.number().int().min(1).describe("Estimated total thoughts needed (numeric value, e.g., 5, 10)"),
+      isRevision: z.boolean().optional().describe("Whether this revises previous thinking"),
+      revisesThought: z.number().int().min(1).optional().describe("Which thought is being reconsidered"),
+      branchFromThought: z.number().int().min(1).optional().describe("Branching point thought number"),
+      branchId: z.string().optional().describe("Branch identifier"),
+      needsMoreThoughts: z.boolean().optional().describe("If more thoughts are needed")
+    },
+    outputSchema: {
+      thoughtNumber: z.number(),
+      totalThoughts: z.number(),
+      nextThoughtNeeded: z.boolean(),
+      branches: z.array(z.string()),
+      thoughtHistoryLength: z.number()
    },
-    required: ["thought", "nextThoughtNeeded", "thoughtNumber", "totalThoughts"]
-  }
-};
-
-const server = new Server(
-  {
-    name: "sequential-thinking-server",
-    version: "0.2.0",
  },
-  {
-    capabilities: {
-      tools: {},
-    },
+  async (args) => {
+    const result = thinkingServer.processThought(args);
+
+    if (result.isError) {
+      return result;
+    }
+
+    // Parse the JSON response to get structured content
+    const parsedContent = JSON.parse(result.content[0].text);
+
+    return {
+      content: result.content,
+      structuredContent: parsedContent
+    };
  }
 );

-const thinkingServer = new SequentialThinkingServer();
-
-server.setRequestHandler(ListToolsRequestSchema, async () => ({
-  tools: [SEQUENTIAL_THINKING_TOOL],
-}));
-
-server.setRequestHandler(CallToolRequestSchema, async (request) => {
-  if (request.params.name === "sequentialthinking") {
-    return thinkingServer.processThought(request.params.arguments);
-  }
-
-  return {
-    content: [{
-      type: "text",
-      text: `Unknown tool: ${request.params.name}`
-    }],
-    isError: true
-  };
-});
-
 async function runServer() {
  const transport = new StdioServerTransport();
  await server.connect(transport);
--- a/src/sequentialthinking/lib.ts
+++ b/src/sequentialthinking/lib.ts
@@ -21,35 +21,6 @@ export class SequentialThinkingServer {
    this.disableThoughtLogging = (process.env.DISABLE_THOUGHT_LOGGING || "").toLowerCase() === "true";
  }

-  private validateThoughtData(input: unknown): ThoughtData {
-    const data = input as Record<string, unknown>;
-
-    if (!data.thought || typeof data.thought !== 'string') {
-      throw new Error('Invalid thought: must be a string');
-    }
-    if (!data.thoughtNumber || typeof data.thoughtNumber !== 'number') {
-      throw new Error('Invalid thoughtNumber: must be a number');
-    }
-    if (!data.totalThoughts || typeof data.totalThoughts !== 'number') {
-      throw new Error('Invalid totalThoughts: must be a number');
-    }
-    if (typeof data.nextThoughtNeeded !== 'boolean') {
-      throw new Error('Invalid nextThoughtNeeded: must be a boolean');
-    }
-
-    return {
-      thought: data.thought,
-      thoughtNumber: data.thoughtNumber,
-      totalThoughts: data.totalThoughts,
-      nextThoughtNeeded: data.nextThoughtNeeded,
-      isRevision: data.isRevision as boolean | undefined,
-      revisesThought: data.revisesThought as number | undefined,
-      branchFromThought: data.branchFromThought as number | undefined,
-      branchId: data.branchId as string | undefined,
-      needsMoreThoughts: data.needsMoreThoughts as boolean | undefined,
-    };
-  }
-
  private formatThought(thoughtData: ThoughtData): string {
    const { thoughtNumber, totalThoughts, thought, isRevision, revisesThought, branchFromThought, branchId } = thoughtData;

@@ -78,35 +49,35 @@ export class SequentialThinkingServer {
 └${border}┘`;
  }

-  public processThought(input: unknown): { content: Array<{ type: string; text: string }>; isError?: boolean } {
+  public processThought(input: ThoughtData): { content: Array<{ type: "text"; text: string }>; isError?: boolean } {
    try {
-      const validatedInput = this.validateThoughtData(input);
-
-      if (validatedInput.thoughtNumber > validatedInput.totalThoughts) {
-        validatedInput.totalThoughts = validatedInput.thoughtNumber;
+      // Validation happens at the tool registration layer via Zod
+      // Adjust totalThoughts if thoughtNumber exceeds it
+      if (input.thoughtNumber > input.totalThoughts) {
+        input.totalThoughts = input.thoughtNumber;
      }

-      this.thoughtHistory.push(validatedInput);
+      this.thoughtHistory.push(input);

-      if (validatedInput.branchFromThought && validatedInput.branchId) {
-        if (!this.branches[validatedInput.branchId]) {
-          this.branches[validatedInput.branchId] = [];
+      if (input.branchFromThought && input.branchId) {
+        if (!this.branches[input.branchId]) {
+          this.branches[input.branchId] = [];
        }
-        this.branches[validatedInput.branchId].push(validatedInput);
+        this.branches[input.branchId].push(input);
      }

      if (!this.disableThoughtLogging) {
-        const formattedThought = this.formatThought(validatedInput);
+        const formattedThought = this.formatThought(input);
        console.error(formattedThought);
      }

      return {
        content: [{
-          type: "text",
+          type: "text" as const,
          text: JSON.stringify({
-            thoughtNumber: validatedInput.thoughtNumber,
-            totalThoughts: validatedInput.totalThoughts,
-            nextThoughtNeeded: validatedInput.nextThoughtNeeded,
+            thoughtNumber: input.thoughtNumber,
+            totalThoughts: input.totalThoughts,
+            nextThoughtNeeded: input.nextThoughtNeeded,
            branches: Object.keys(this.branches),
            thoughtHistoryLength: this.thoughtHistory.length
          }, null, 2)
@@ -115,7 +86,7 @@ export class SequentialThinkingServer {
    } catch (error) {
      return {
        content: [{
-          type: "text",
+          type: "text" as const,
          text: JSON.stringify({
            error: error instanceof Error ? error.message : String(error),
            status: 'failed'
--- a/src/sequentialthinking/package.json
+++ b/src/sequentialthinking/package.json
@@ -3,9 +3,14 @@
  "version": "0.6.2",
  "description": "MCP server for sequential thinking and problem solving",
  "license": "MIT",
+  "mcpName": "io.github.modelcontextprotocol/server-sequential-thinking",
  "author": "Anthropic, PBC (https://anthropic.com)",
  "homepage": "https://modelcontextprotocol.io",
  "bugs": "https://github.com/modelcontextprotocol/servers/issues",
+  "repository": {
+    "type": "git",
+    "url": "https://github.com/modelcontextprotocol/servers.git"
+  },
  "type": "module",
  "bin": {
    "mcp-server-sequential-thinking": "dist/index.js"
@@ -20,7 +25,7 @@
    "test": "vitest run --coverage"
  },
  "dependencies": {
-    "@modelcontextprotocol/sdk": "^1.19.1",
+    "@modelcontextprotocol/sdk": "^1.24.0",
    "chalk": "^5.3.0",
    "yargs": "^17.7.2"
  },
--- a/src/sequentialthinking/tsconfig.json
+++ b/src/sequentialthinking/tsconfig.json
@@ -2,9 +2,13 @@
  "extends": "../../tsconfig.json",
  "compilerOptions": {
    "outDir": "./dist",
-    "rootDir": ".",
-    "moduleResolution": "NodeNext",
-    "module": "NodeNext"
+    "rootDir": "."
  },
-  "include": ["./**/*.ts"]
+  "include": [
+    "./**/*.ts"
+  ],
+  "exclude": [
+    "**/*.test.ts",
+    "vitest.config.ts"
+  ]
 }
--- a/src/time/Dockerfile
+++ b/src/time/Dockerfile
@@ -14,13 +14,13 @@ ENV UV_LINK_MODE=copy
 RUN --mount=type=cache,target=/root/.cache/uv \
    --mount=type=bind,source=uv.lock,target=uv.lock \
    --mount=type=bind,source=pyproject.toml,target=pyproject.toml \
-    uv sync --frozen --no-install-project --no-dev --no-editable
+    uv sync --locked --no-install-project --no-dev --no-editable

 # Then, add the rest of the project source code and install it
 # Installing separately from its dependencies allows optimal layer caching
 ADD . /app
 RUN --mount=type=cache,target=/root/.cache/uv \
-    uv sync --frozen --no-dev --no-editable
+    uv sync --locked --no-dev --no-editable

 FROM python:3.12-slim-bookworm

--- a/src/time/README.md
+++ b/src/time/README.md
@@ -1,5 +1,7 @@
 # Time MCP Server

+<!-- mcp-name: io.github.modelcontextprotocol/server-time -->
+
 A Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.

 ### Available Tools