diff --git a/README.md b/README.md
index a6128fff..b75f86ee 100644
--- a/README.md
+++ b/README.md
@@ -4,13 +4,18 @@ This repository is a collection of *reference implementations* for the [Model Co
to community built servers and additional resources.
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.
-Each MCP server is implemented with either the [Typescript MCP SDK](https://github.com/modelcontextprotocol/typescript-sdk) or [Python MCP SDK](https://github.com/modelcontextprotocol/python-sdk).
+Typically, each MCP server is implemented with an MCP SDK:
+- [C# MCP SDK](https://github.com/modelcontextprotocol/csharp-sdk)
+- [Java MCP SDK](https://github.com/modelcontextprotocol/java-sdk)
+- [Kotlin MCP SDK](https://github.com/modelcontextprotocol/kotlin-sdk)
+- [Python MCP SDK](https://github.com/modelcontextprotocol/python-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 TypeScript and Python SDKs.
+These servers aim to demonstrate MCP features and the official SDKs.
- **[Everything](src/everything)** - Reference / test server with prompts, resources, and tools
- **[Fetch](src/fetch)** - Web content fetching and conversion for efficient LLM usage
@@ -52,13 +57,14 @@ Official integrations are maintained by companies building production ready MCP
- **[Agentset](https://github.com/agentset-ai/mcp-server)** - RAG for your knowledge base connected to [Agentset](https://agentset.ai).
- 
**[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
- 
**[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.
-- 
**[Algolia MCP](https://github.com/algolia/mcp-node)** Algolia MCP Server exposes a natural language interface to query, inspect, and manage Algolia indices and configs. Useful for monitoring, debugging and optimizing search performance within your agentic workflows. See [demo](https://www.youtube.com/watch?v=UgCOLcDI9Lg).
+- **[Algolia](https://github.com/algolia/mcp)** - Use AI agents to provision, configure, and query your [Algolia](https://algolia.com) search indices.
- 
**[Alibaba Cloud AnalyticDB for MySQL](https://github.com/aliyun/alibabacloud-adb-mysql-mcp-server)** - Connect to a [AnalyticDB for MySQL](https://www.alibabacloud.com/en/product/analyticdb-for-mysql) cluster for getting database or table metadata, querying and analyzing data.It will be supported to add the openapi for cluster operation in the future.
- 
**[Alibaba Cloud AnalyticDB for PostgreSQL](https://github.com/aliyun/alibabacloud-adbpg-mcp-server)** - An MCP server to connect to [AnalyticDB for PostgreSQL](https://github.com/aliyun/alibabacloud-adbpg-mcp-server) instances, query and analyze data.
- 
**[Alibaba Cloud DataWorks](https://github.com/aliyun/alibabacloud-dataworks-mcp-server)** - A Model Context Protocol (MCP) server that provides tools for AI, allowing it to interact with the [DataWorks](https://www.alibabacloud.com/help/en/dataworks/) Open API through a standardized interface. This implementation is based on the Alibaba Cloud Open API and enables AI agents to perform cloud resources operations seamlessly.
- 
**[Alibaba Cloud OpenSearch](https://github.com/aliyun/alibabacloud-opensearch-mcp-server)** - This MCP server equips AI Agents with tools to interact with [OpenSearch](https://help.aliyun.com/zh/open-search/?spm=5176.7946605.J_5253785160.6.28098651AaYZXC) through a standardized and extensible interface.
- 
**[Alibaba Cloud OPS](https://github.com/aliyun/alibaba-cloud-ops-mcp-server)** - Manage the lifecycle of your Alibaba Cloud resources with [CloudOps Orchestration Service](https://www.alibabacloud.com/en/product/oos) and Alibaba Cloud OpenAPI.
- 
**[Alibaba Cloud RDS](https://github.com/aliyun/alibabacloud-rds-openapi-mcp-server)** - An MCP server designed to interact with the Alibaba Cloud RDS OpenAPI, enabling programmatic management of RDS resources via an LLM.
+- 
**[AllVoiceLab](https://www.allvoicelab.com/mcp)** - An AI voice toolkit with TTS, voice cloning, and video translation, now available as an MCP server for smarter agent integration.
- 
**[Alpaca](https://github.com/alpacahq/alpaca-mcp-server)** – Alpaca's MCP server lets you trade stocks and options, analyze market data, and build strategies through [Alpaca's Trading API](https://alpaca.markets/)
- 
**[AlphaVantage](https://github.com/calvernaz/alphavantage)** - Connect to 100+ APIs for financial market data, including stock prices, fundamentals, and more from [AlphaVantage](https://www.alphavantage.co)
- 
**[Apache Doris](https://github.com/apache/doris-mcp-server)** - MCP Server For [Apache Doris](https://doris.apache.org/), an MPP-based real-time data warehouse.
@@ -66,30 +72,38 @@ Official integrations are maintained by companies building production ready MCP
- 
**[Apify](https://github.com/apify/actors-mcp-server)** - [Actors MCP Server](https://apify.com/apify/actors-mcp-server): Use 3,000+ pre-built cloud tools to extract data from websites, e-commerce, social media, search engines, maps, and more
- 
**[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.
- 
**[Apollo MCP Server](https://github.com/apollographql/apollo-mcp-server/)** - Connect your GraphQL APIs to AI agents
+- 
**[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.
+- 
**[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.
- 
**[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.
- 
**[Armor Crypto MCP](https://github.com/armorwallet/armor-crypto-mcp)** - MCP to interface with multiple blockchains, staking, DeFi, swap, bridging, wallet management, DCA, Limit Orders, Coin Lookup, Tracking and more.
- 
**[Asgardeo](https://github.com/asgardeo/asgardeo-mcp-server)** - MCP server to interact with your [Asgardeo](https://wso2.com/asgardeo) organization through LLM tools.
- 
**[Astra DB](https://github.com/datastax/astra-db-mcp)** - Comprehensive tools for managing collections and documents in a [DataStax Astra DB](https://www.datastax.com/products/datastax-astra) NoSQL database with a full range of operations such as create, update, delete, find, and associated bulk actions.
+- 
**[Atla](https://github.com/atla-ai/atla-mcp-server)** - Enable AI agents to interact with the [Atla API](https://docs.atla-ai.com/) for state-of-the-art LLMJ evaluation.
- 
**[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.
+- 
**[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.
- 
**[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.
- 
**[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.
- 
**[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.
- 
**[AWS](https://github.com/awslabs/mcp)** - Specialized MCP servers that bring AWS best practices directly to your development workflow.
- 
**[Axiom](https://github.com/axiomhq/mcp-server-axiom)** - Query and analyze your Axiom logs, traces, and all other event data in natural language
- 
**[Azure](https://github.com/Azure/azure-mcp)** - The Azure MCP Server gives MCP Clients access to key Azure services and tools like Azure Storage, Cosmos DB, the Azure CLI, and more.
+- 
**[Baidu Map](https://github.com/baidu-maps/mcp)** - [Baidu Map MCP Server](https://lbsyun.baidu.com/faq/api?title=mcpserver/base) provides tools for AI agents to interact with Baidu Maps APIs, enabling location-based services and geospatial data analysis.
- 
**[Bankless Onchain](https://github.com/bankless/onchain-mcp)** - Query Onchain data, like ERC20 tokens, transaction history, smart contract state.
- 
**[BICScan](https://github.com/ahnlabio/bicscan-mcp)** - Risk score / asset holdings of EVM blockchain address (EOA, CA, ENS) and even domain names.
- 
**[Bitrise](https://github.com/bitrise-io/bitrise-mcp)** - Chat with your builds, CI, and [more](https://bitrise.io/blog/post/chat-with-your-builds-ci-and-more-introducing-the-bitrise-mcp-server).
- 
**[BoldSign](https://github.com/boldsign/boldsign-mcp)** - Search, request, and manage e-signature contracts effortlessly with [BoldSign](https://boldsign.com/).
- 
**[Boost.space](https://github.com/boostspace/boostspace-mcp-server)** - An MCP server integrating with [Boost.space](https://boost.space) for centralized, automated business data from 2000+ sources.
- 
**[Box](https://github.com/box-community/mcp-server-box)** - Interact with the Intelligent Content Management platform through Box AI.
+- 
**[BrightData](https://github.com/luminati-io/brightdata-mcp)** - Discover, extract, and interact with the web - one interface powering automated access across the public internet.
- 
**[Browserbase](https://github.com/browserbase/mcp-server-browserbase)** - Automate browser interactions in the cloud (e.g. web navigation, data extraction, form filling, and more)
- 
**[BrowserStack](https://github.com/browserstack/mcp-server)** - Access BrowserStack's [Test Platform](https://www.browserstack.com/test-platform) to debug, write and fix tests, do accessibility testing and more.
+- 
**[Bucket](https://github.com/bucketco/bucket-javascript-sdk/tree/main/packages/cli#model-context-protocol)** - Flag features, manage company data, and control feature access using [Bucket](https://bucket.co)
- 
**[BuiltWith](https://github.com/builtwith/mcp)** - Identify the technology stack behind any website.
- 
**[Burp Suite](https://github.com/PortSwigger/mcp-server)** - MCP Server extension allowing AI clients to connect to [Burp Suite](https://portswigger.net)
- 
**[Campertunity](https://github.com/campertunity/mcp-server)** - Search campgrounds around the world on campertunity, check availability, and provide booking links.
- 
**[Cartesia](https://github.com/cartesia-ai/cartesia-mcp)** - Connect to the [Cartesia](https://cartesia.ai/) voice platform to perform text-to-speech, voice cloning etc.
- 
**[Cashfree](https://github.com/cashfree/cashfree-mcp)** - [Cashfree Payments](https://www.cashfree.com/) official MCP server.
+- **[CB Insights](https://github.com/cbinsights/cbi-mcp-server)** - Use the [CB Insights](https://www.cbinsights.com) MCP Server to connect to [ChatCBI](https://www.cbinsights.com/chatcbi/)
- 
**[Chargebee](https://github.com/chargebee/agentkit/tree/main/modelcontextprotocol)** - MCP Server that connects AI agents to [Chargebee platform](https://www.chargebee.com).
- 
**[Cheqd](https://github.com/cheqd/mcp-toolkit)** - Enable AI Agents to be trusted, verified, prevent fraud, protect your reputation, and more through [cheqd's](https://cheqd.io) Trust Registries and Credentials.
- 
**[Chiki StudIO](https://chiki.studio/galimybes/mcp/)** - Create your own configurable MCP servers purely via configuration (no code), with instructions, prompts, and tools support.
@@ -97,17 +111,21 @@ Official integrations are maintained by companies building production ready MCP
- 
**[Chronulus AI](https://github.com/ChronulusAI/chronulus-mcp)** - Predict anything with Chronulus AI forecasting and prediction agents.
- 
**[CircleCI](https://github.com/CircleCI-Public/mcp-server-circleci)** - Enable AI Agents to fix build failures from CircleCI.
- 
**[ClickHouse](https://github.com/ClickHouse/mcp-clickhouse)** - Query your [ClickHouse](https://clickhouse.com/) database server.
+- 
**[Cloudera Iceberg](https://github.com/cloudera/iceberg-mcp-server)** - enabling AI on the [Open Data Lakehouse](https://www.cloudera.com/products/open-data-lakehouse.html).
- 
**[Cloudflare](https://github.com/cloudflare/mcp-server-cloudflare)** - Deploy, configure & interrogate your resources on the Cloudflare developer platform (e.g. Workers/KV/R2/D1)
- 
**[Codacy](https://github.com/codacy/codacy-mcp-server/)** - Interact with [Codacy](https://www.codacy.com) API to query code quality issues, vulnerabilities, and coverage insights about your code.
- 
**[CodeLogic](https://github.com/CodeLogicIncEngineering/codelogic-mcp-server)** - Interact with [CodeLogic](https://codelogic.com), a Software Intelligence platform that graphs complex code and data architecture dependencies, to boost AI accuracy and insight.
+- 
**[CoinGecko](https://github.com/coingecko/coingecko-typescript/tree/main/packages/mcp-server)** - Official [CoinGecko API](https://www.coingecko.com/en/api) MCP Server for Crypto Price & Market Data, across 200+ Blockchain Networks and 8M+ Tokens.
- 
**[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 telemtry data from your LLMs in natural language.
- 
**[Confluent](https://github.com/confluentinc/mcp-confluent)** - Interact with Confluent Kafka and Confluent Cloud REST APIs.
- 
**[Contrast Security](https://github.com/Contrast-Security-OSS/mcp-contrast)** - Brings Contrast's vulnerability and SCA data into your coding agent to quickly remediate vulnerabilities.
- 
**[Convex](https://stack.convex.dev/convex-mcp-server)** - Introspect and query your apps deployed to Convex.
- 
**[Couchbase](https://github.com/Couchbase-Ecosystem/mcp-server-couchbase)** - Interact with the data stored in Couchbase clusters.
- 
**[CRIC Wuye AI](https://github.com/wuye-ai/mcp-server-wuye-ai)** - Interact with capabilities of the CRIC Wuye AI platform, an intelligent assistant specifically for the property management industry.
+- 
**[Cycode](https://github.com/cycodehq/cycode-cli#mcp-command-experiment)** - Boost security in your dev lifecycle via SAST, SCA, Secrets & IaC scanning with [Cycode](https://cycode.com/).
- 
**[Dart](https://github.com/its-dart/dart-mcp-server)** - Interact with task, doc, and project data in [Dart](https://itsdart.com), an AI-native project management tool
- 
**[DataHub](https://github.com/acryldata/mcp-server-datahub)** - Search your data assets, traverse data lineage, write SQL queries, and more using [DataHub](https://datahub.com/) metadata.
+- 
**[Daytona](https://github.com/daytonaio/daytona/tree/main/apps/cli/mcp)** - Fast and secure execution of your AI generated code with [Daytona](https://daytona.io) sandboxes
- 
**[Debugg.AI](https://github.com/debugg-ai/debugg-ai-mcp)** - Zero-Config, Fully AI-Managed End-to-End Testing for any code gen platform via [Debugg.AI](https://debugg.ai) remote browsing test agents.
- 
**[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)
- 
**[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
@@ -120,14 +138,18 @@ Official integrations are maintained by companies building production ready MCP
- 
**[Edgee](https://github.com/edgee-cloud/mcp-server-edgee)** - Deploy and manage [Edgee](https://www.edgee.cloud) components and projects
- 
**[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
- 
**[Elasticsearch](https://github.com/elastic/mcp-server-elasticsearch)** - Query your data in [Elasticsearch](https://www.elastic.co/elasticsearch)
+- 
**[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.
- 
**[eSignatures](https://github.com/esignaturescom/mcp-server-esignatures)** - Contract and template management for drafting, reviewing, and sending binding contracts.
- 
**[Exa](https://github.com/exa-labs/exa-mcp-server)** - Search Engine made for AIs by [Exa](https://exa.ai)
+- **[FalkorDB](https://github.com/FalkorDB/FalkorDB-MCPServer)** - FalkorDB graph database server get schema and read/write-cypher [FalkorDB](https://www.falkordb.com)
- 
**[Fewsats](https://github.com/Fewsats/fewsats-mcp)** - Enable AI Agents to purchase anything in a secure way using [Fewsats](https://fewsats.com)
- 
**[Fibery](https://github.com/Fibery-inc/fibery-mcp-server)** - Perform queries and entity operations in your [Fibery](https://fibery.io) workspace.
- 
**[Financial Datasets](https://github.com/financial-datasets/mcp-server)** - Stock market API made for AI agents
+- 
**[Firebase](https://github.com/firebase/firebase-tools/blob/master/src/mcp)** - Firebase's experimental [MCP Server](https://firebase.google.com/docs/cli/mcp-server) to power your AI Tools
- 
**[Firecrawl](https://github.com/mendableai/firecrawl-mcp-server)** - Extract web data with [Firecrawl](https://firecrawl.dev)
- 
**[Firefly](https://github.com/gofireflyio/firefly-mcp)** - Integrates, discovers, manages, and codifies cloud resources with [Firefly](https://firefly.ai).
- 
**[Fireproof](https://github.com/fireproof-storage/mcp-database-server)** - Immutable ledger database with live synchronization
+- 
**[Fluid Attacks](https://github.com/fluidattacks/mcp)** - Interact with the [Fluid Attacks](https://fluidattacks.com/) API, enabling vulnerability management, organization insights, and GraphQL query execution.
- 
**[ForeverVM](https://github.com/jamsocket/forevervm/tree/main/javascript/mcp-server)** - Run Python in a code sandbox.
- 
**[GibsonAI](https://github.com/GibsonAI/mcp)** - AI-Powered Cloud databases: Build, migrate, and deploy database instances with AI
- 
**[Gitea](https://gitea.com/gitea/gitea-mcp)** - Interact with Gitea instances with MCP.
@@ -136,20 +158,25 @@ Official integrations are maintained by companies building production ready MCP
- 
**[Glean](https://github.com/gleanwork/mcp-server)** - Enterprise search and chat using Glean's API.
- 
**[Globalping](https://github.com/jsdelivr/globalping-mcp-server)** - Access a network of thousands of probes to run network commands like ping, traceroute, mtr, http and DNS resolve.
- 
**[gNucleus Text-To-CAD](https://github.com/gNucleus/text-to-cad-mcp)** - Generate CAD parts and assemblies from text using gNucleus AI models.
+- 
**[Google Cloud Run](https://github.com/GoogleCloudPlatform/cloud-run-mcp)** - Deploy code to Google Cloud Run
- 
**[gotoHuman](https://github.com/gotohuman/gotohuman-mcp-server)** - Human-in-the-loop platform - Allow AI agents and automations to send requests for approval to your [gotoHuman](https://www.gotohuman.com) inbox.
- 
**[Grafana](https://github.com/grafana/mcp-grafana)** - Search dashboards, investigate incidents and query datasources in your Grafana instance
- 
**[Grafbase](https://github.com/grafbase/grafbase/tree/main/crates/mcp)** - Turn your GraphQL API into an efficient MCP server with schema intelligence in a single command.
- 
**[Graphlit](https://github.com/graphlit/graphlit-mcp-server)** - Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a searchable [Graphlit](https://www.graphlit.com) project.
- 
**[GreptimeDB](https://github.com/GreptimeTeam/greptimedb-mcp-server)** - Provides AI assistants with a secure and structured way to explore and analyze data in [GreptimeDB](https://github.com/GreptimeTeam/greptimedb).
- 
**[Gyazo](https://github.com/nota/gyazo-mcp-server)** - Search, fetch, upload, and interact with Gyazo images, including metadata and OCR data.
+- 
**[Harper](https://github.com/HarperDB/mcp-server)** - An MCP server providing an interface for MCP clients to access data within [Harper](https://www.harpersystems.dev/).
- 
**[Heroku](https://github.com/heroku/heroku-mcp-server)** - Interact with the Heroku Platform through LLM-driven tools for managing apps, add-ons, dynos, databases, and more.
- 
**[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.
- 
**[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.
- 
**[HubSpot](https://developer.hubspot.com/mcp)** - Connect, manage, and interact with [HubSpot](https://www.hubspot.com/) CRM data
+- 
**[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!
- 
**[Hunter](https://github.com/hunter-io/hunter-mcp)** - Interact with the [Hunter API](https://hunter.io) to get B2B data using natural language.
+- 
**[Hyperbolic](https://github.com/HyperbolicLabs/hyperbolic-mcp)** - Interact with Hyperbolic's GPU cloud, enabling agents and LLMs to view and rent available GPUs, SSH into them, and run GPU-powered workloads for you.
- 
**[Hyperbrowser](https://github.com/hyperbrowserai/mcp)** - [Hyperbrowser](https://www.hyperbrowser.ai/) is the next-generation platform empowering AI agents and enabling effortless, scalable browser automation.
- **[IBM wxflows](https://github.com/IBM/wxflows/tree/main/examples/mcp/javascript)** - Tool platform by IBM to build, test and deploy tools for any data source
- 
**[Inbox Zero](https://github.com/elie222/inbox-zero/tree/main/apps/mcp-server)** - AI personal assistant for email [Inbox Zero](https://www.getinboxzero.com)
+- 
**[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)
- 
**[Inkeep](https://github.com/inkeep/mcp-server-python)** - RAG Search over your content powered by [Inkeep](https://inkeep.com)
- 
**[Integration App](https://github.com/integration-app/mcp-server)** - Interact with any other SaaS applications on behalf of your customers.
- 
**[JetBrains](https://github.com/JetBrains/mcp-jetbrains)** – Work on your code with JetBrains IDEs
@@ -158,31 +185,39 @@ Official integrations are maintained by companies building production ready MCP
- 
**[Keboola](https://github.com/keboola/keboola-mcp-server)** - Build robust data workflows, integrations, and analytics on a single intuitive platform.
- 
**[KeywordsPeopleUse.com](https://github.com/data-skunks/kpu-mcp)** - Find questions people ask online with [KeywordsPeopleUse](https://keywordspeopleuse.com).
- 
**[Klavis ReportGen](https://github.com/Klavis-AI/klavis/tree/main/mcp_servers/report_generation)** - Create professional reports from a simple user query.
+- 
**[Knit MCP Server](https://developers.getknit.dev/docs/knit-mcp-server-getting-started)** - Production-ready remote MCP servers that enable you to connect with 10000+ tools across CRM, HRIS, Payroll, Accounting, ERP, Calendar, Expense Management, and Chat categories.
+- 
**[Knock MCP Server](https://github.com/knocklabs/agent-toolkit#model-context-protocol-mcp)** - Send product and customer messaging across email, in-app, push, SMS, Slack, MS Teams.
- 
**[KurrentDB](https://github.com/kurrent-io/mcp-server)** - This is a simple MCP server to help you explore data and prototype projections faster on top of KurrentDB.
+- 
**[Kuzu](https://github.com/kuzudb/kuzu-mcp-server)** - This server enables LLMs to inspect database schemas and execute queries on the provided Kuzu graph database. See [blog](https://blog.kuzudb.com/post/2025-03-23-kuzu-mcp-server/)) for a debugging use case.
- 
**[KWDB](https://github.com/KWDB/kwdb-mcp-server)** - Reading, writing, querying, modifying data, and performing DDL operations with data in your KWDB Database.
- 
**[Label Studio](https://github.com/HumanSignal/label-studio-mcp-server)** - Open Source data labeling platform.
- 
**[Lambda Capture](https://github.com/lambda-capture/mcp-server)** - Macroeconomic Forecasts & Semantic Context from Federal Reserve, Bank of England, ECB.
- 
**[Langfuse Prompt Management](https://github.com/langfuse/mcp-server-langfuse)** - Open-source tool for collaborative editing, versioning, evaluating, and releasing prompts.
- 
**[Lara Translate](https://github.com/translated/lara-mcp)** - MCP Server for Lara Translate API, enabling powerful translation capabilities with support for language detection and context-aware translations.
+- 
**[Last9](https://github.com/last9/last9-mcp-server)** - Seamlessly bring real-time production context—logs, metrics, and traces—into your local environment to auto-fix code faster.
- 
**[LaunchDarkly](https://github.com/launchdarkly/mcp-server)** - LaunchDarkly is a continuous delivery platform that provides feature flags as a service and allows developers to iterate quickly and safely.
+- 
**[LINE](https://github.com/line/line-bot-mcp-server)** - Integrates the LINE Messaging API to connect an AI Agent to the LINE Official Account.
- 
**[Linear](https://linear.app/docs/mcp)** - Search, create, and update Linear issues, projects, and comments.
- 
**[Lingo.dev](https://github.com/lingodotdev/lingo.dev/blob/main/mcp.md)** - Make your AI agent speak every language on the planet, using [Lingo.dev](https://lingo.dev) Localization Engine.
- 
**[LinkedIn MCP Runner](https://github.com/ertiqah/linkedin-mcp-runner)** - Write, edit, and schedule LinkedIn posts right from ChatGPT and Claude with [LiGo](https://ligo.ertiqah.com/).
+- 
**[Lisply](https://github.com/gornskew/lisply-mcp)** - Flexible frontend for compliant Lisp-speaking backends.
- 
**[Litmus.io](https://github.com/litmusautomation/litmus-mcp-server)** - Official MCP server for configuring [Litmus](https://litmus.io) Edge for Industrial Data Collection, Edge Analytics & Industrial AI.
- 
**[Liveblocks](https://github.com/liveblocks/liveblocks-mcp-server)** - Ready‑made features for AI & human collaboration—use this to develop your [Liveblocks](https://liveblocks.io) app quicker.
- 
**[Logfire](https://github.com/pydantic/logfire-mcp)** - Provides access to OpenTelemetry traces and metrics through Logfire.
- 
**[Magic Meal Kits](https://github.com/pureugong/mmk-mcp)** - Unleash Make's Full Potential by [Magic Meal Kits](https://make.magicmealkits.com/)
- 
**[Mailgun](https://github.com/mailgun/mailgun-mcp-server)** - Interact with Mailgun API.
- 
**[Make](https://github.com/integromat/make-mcp-server)** - Turn your [Make](https://www.make.com/) scenarios into callable tools for AI assistants.
+- 
**[Mapbox](https://github.com/mapbox/mcp-server)** - Unlock geospatial intelligence through Mapbox APIs like geocoding, POI search, directions, isochrones and more.
- 
**[MCP Discovery](https://github.com/rust-mcp-stack/mcp-discovery)** - A lightweight CLI tool built in Rust for discovering MCP server capabilities.
- 
**[MCP Toolbox for Databases](https://github.com/googleapis/genai-toolbox)** - Open source MCP server specializing in easy, fast, and secure tools for Databases. Supports AlloyDB, BigQuery, Bigtable, Cloud SQL, Dgraph, MySQL, Neo4j, Postgres, Spanner, and more.
- 
**[Meilisearch](https://github.com/meilisearch/meilisearch-mcp)** - Interact & query with Meilisearch (Full-text & semantic search API)
- 
**[Memgraph](https://github.com/memgraph/mcp-memgraph)** - Query your data in [Memgraph](https://memgraph.com/) graph database.
+- **[Memgraph](https://github.com/memgraph/ai-toolkit/tree/main/integrations/mcp-memgraph)** - Query your data in [Memgraph](https://memgraph.com/) graph database.
- 
**[Mercado Pago](https://mcp.mercadopago.com/)** - Mercado Pago's official MCP server.
- 
**[Metoro](https://github.com/metoro-io/metoro-mcp-server)** - Query and interact with kubernetes environments monitored by Metoro
- 
**[Microsoft Clarity](https://github.com/microsoft/clarity-mcp-server)** - Official MCP Server to get your behavioral analytics data and insights from [Clarity](https://clarity.microsoft.com)
-- 
**[Microsoft Docs](https://github.com/microsoftdocs/mcp)** - An MCP server that provides structured access to Microsoft’s official documentation. Retrieves accurate, authoritative, and context-aware technical content for code generation, question answering, and workflow grounding.
- 
**[Microsoft Dataverse](https://go.microsoft.com/fwlink/?linkid=2320176)** - Chat over your business data using NL - Discover tables, run queries, retrieve data, insert or update records, and execute custom prompts grounded in business knowledge and context.
+- **[Microsoft Docs](https://github.com/microsoftdocs/mcp)** - An MCP server that provides structured access to Microsoft’s official documentation. Retrieves accurate, authoritative, and context-aware technical content for code generation, question answering, and workflow grounding.
- 
**[Milvus](https://github.com/zilliztech/mcp-server-milvus)** - Search, Query and interact with data in your Milvus Vector Database.
- 
**[Momento](https://github.com/momentohq/mcp-momento)** - Momento Cache lets you quickly improve your performance, reduce costs, and handle load at any scale.
- 
**[MongoDB](https://github.com/mongodb-js/mongodb-mcp-server)** - Both MongoDB Community Server and MongoDB Atlas are supported.
@@ -191,10 +226,12 @@ Official integrations are maintained by companies building production ready MCP
- 
**[Needle](https://github.com/needle-ai/needle-mcp)** - Production-ready RAG out of the box to search and retrieve data from your own documents.
- 
**[Neo4j](https://github.com/neo4j-contrib/mcp-neo4j/)** - Neo4j graph database server (schema + read/write-cypher) and separate graph database backed memory
- 
**[Neon](https://github.com/neondatabase/mcp-server-neon)** - Interact with the Neon serverless Postgres platform
+- 
**[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/)
- 
**[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
- 
**[Netlify](https://docs.netlify.com/welcome/build-with-ai/netlify-mcp-server/)** - Create, build, deploy, and manage your websites with Netlify web platform.
- 
**[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
- 
**[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.
+- 
**[Norman Finance](https://github.com/norman-finance/norman-mcp-server)** - MCP server for managing accounting and taxes with Norman Finance.
- 
**[Notion](https://github.com/makenotion/notion-mcp-server#readme)** - This project implements an MCP server for the Notion API.
- 
**[Nutrient](https://github.com/PSPDFKit/nutrient-dws-mcp-server)** - Create, Edit, Sign, Extract Documents using Natural Language
- 
**[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.
@@ -207,22 +244,32 @@ Official integrations are maintained by companies building production ready MCP
- 
**[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.
- 
**[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/).
- 
**[OpsLevel](https://github.com/opslevel/opslevel-mcp)** - Official MCP Server for [OpsLevel](https://www.opslevel.com).
+- 
**[Optuna](https://github.com/optuna/optuna-mcp)** - Official MCP server enabling seamless orchestration of hyperparameter search and other optimization tasks with [Optuna](https://optuna.org/).
- 
**[Oxylabs](https://github.com/oxylabs/oxylabs-mcp)** - Scrape websites with Oxylabs Web API, supporting dynamic rendering and parsing for structured data extraction.
- 
**[Paddle](https://github.com/PaddleHQ/paddle-mcp-server)** - Interact with the Paddle API. Manage product catalog, billing and subscriptions, and reports.
-- 
**[Pagos](https://github.com/pagos-ai/pagos-mcp)** - Interact with the Pagos API. Query Credit Card BIN Data with more to come.
+- **[Pagos](https://github.com/pagos-ai/pagos-mcp)** - Interact with the Pagos API. Query Credit Card BIN Data with more to come.
- 
**[PAIML MCP Agent Toolkit](https://github.com/paiml/paiml-mcp-agent-toolkit)** - Professional project scaffolding toolkit with zero-configuration AI context generation, template generation for Rust/Deno/Python projects, and hybrid neuro-symbolic code analysis.
+- 
**[Paper](https://github.com/paperinvest/mcp-server)** - Realistic paper trading platform with market simulation, 22 broker emulations, and professional tools for risk-free trading practice. First trading platform with MCP integration.
- **[Patronus AI](https://github.com/patronus-ai/patronus-mcp-server)** - Test, evaluate, and optimize AI agents and RAG apps
- 
**[PayPal](https://mcp.paypal.com)** - PayPal's official MCP server.
+- 
**[Pearl](https://github.com/Pearl-com/pearl_mcp_server)** - Official MCP Server to interact with Pearl API. Connect your AI Agents with 12,000+ certified experts instantly.
- 
**[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.
- 
**[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.
- **[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.
+- 
**[Pipedream](https://github.com/PipedreamHQ/pipedream/tree/master/modelcontextprotocol)** - Connect with 2,500 APIs with 8,000+ prebuilt tools.
+- 
**[PlayCanvas](https://github.com/playcanvas/editor-mcp-server)** - Create interactive 3D web apps with the PlayCanvas Editor.
+- 
**[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.
+- 
**[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.
+- 
**[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.
- 
**[Prisma](https://www.prisma.io/docs/postgres/mcp-server)** - Create and manage Prisma Postgres databases
+- 
**[proxymock](https://docs.speedscale.com/proxymock/reference/mcp/)** - An MCP server that automatically generates tests and mocks by recording a live app.
- 
**[PubNub](https://github.com/pubnub/pubnub-mcp-server)** - Retrieves context for developing with PubNub SDKs and calling APIs.
- 
**[Pulumi](https://github.com/pulumi/mcp-server)** - Deploy and manage cloud infrastructure using [Pulumi](https://pulumi.com).
- 
**[Pure.md](https://github.com/puremd/puremd-mcp)** - Reliably access web content in markdown format with [pure.md](https://pure.md) (bot detection avoidance, proxy rotation, and headless JS rendering built in).
- 
**[Put.io](https://github.com/putdotio/putio-mcp-server)** - Interact with your Put.io account to download torrents.
- 
**[Qdrant](https://github.com/qdrant/mcp-server-qdrant/)** - Implement semantic memory layer on top of the Qdrant vector search engine
+- **[Quickchat AI](https://github.com/incentivai/quickchat-ai-mcp)** - Launch your conversational [Quickchat AI](https://quickchat.ai) agent as an MCP to give AI apps real-time access to its Knowledge Base and conversational capabilities
- 
**[Ragie](https://github.com/ragieai/ragie-mcp-server/)** - Retrieve context from your [Ragie](https://www.ragie.ai) (RAG) knowledge base connected to integrations like Google Drive, Notion, JIRA and more.
- 
**[Ramp](https://github.com/ramp-public/ramp-mcp)** - Interact with [Ramp](https://ramp.com)'s Developer API to run analysis on your spend and gain insights leveraging LLMs
- **[Raygun](https://github.com/MindscapeHQ/mcp-server-raygun)** - Interact with your crash reporting and real using monitoring data on your Raygun account
@@ -232,21 +279,33 @@ Official integrations are maintained by companies building production ready MCP
- 
**[Redis Cloud API](https://github.com/redis/mcp-redis-cloud/)** - The Redis Cloud API MCP Server allows you to manage your Redis Cloud resources using natural language.
- 
**[Reexpress](https://github.com/ReexpressAI/reexpress_mcp_server)** - Enable Similarity-Distance-Magnitude statistical verification for your search, software, and data science workflows
- 
**[Rember](https://github.com/rember/rember-mcp)** - Create spaced repetition flashcards in [Rember](https://rember.com) to remember anything you learn in your chats
+- 
**[Revit](https://github.com/NonicaTeam/AI-Connector-for-Revit)** - Connect and interact with your Revit models live.
- 
**[Rill Data](https://docs.rilldata.com/explore/mcp)** - Interact with Rill Data to query and analyze your data.
- 
**[Riza](https://github.com/riza-io/riza-mcp)** - Arbitrary code execution and tool-use platform for LLMs by [Riza](https://riza.io)
+- 
**[Roblox Studio](https://github.com/Roblox/studio-rust-mcp-server)** - Roblox Studio MCP Server, create and manipulate scenes, scripts in Roblox Studio
+- 
**[Rodin](https://github.com/DeemosTech/rodin-api-mcp)** - Generate 3D Models with [Hyper3D Rodin](https://hyper3d.ai)
- .png)
**[Root Signals](https://github.com/root-signals/root-signals-mcp)** - Improve and quality control your outputs with evaluations using LLM-as-Judge
+- **[Routine](https://github.com/routineco/mcp-server)** - MCP server to interact with [Routine](https://routine.co/): calendars, tasks, notes, etc.
+- 
**[SafeDep](https://github.com/safedep/vet/blob/main/docs/mcp.md)** - SafeDep `vet-mcp` helps in vetting open source packages for security risks—such as vulnerabilities and malicious code—before they're used in your project, especially with AI-generated code suggestions.
+- 
**[SafeLine](https://github.com/chaitin/SafeLine/tree/main/mcp_server)** - [SafeLine](https://safepoint.cloud/landing/safeline) is a self-hosted WAF(Web Application Firewall) to protect your web apps from attacks and exploits.
- 
**[ScrAPI](https://github.com/DevEnterpriseSoftware/scrapi-mcp)** - Web scraping using [ScrAPI](https://scrapi.tech). Extract website content that is difficult to access because of bot detection, captchas or even geolocation restrictions.
- 
**[ScreenshotOne](https://github.com/screenshotone/mcp/)** - Render website screenshots with [ScreenshotOne](https://screenshotone.com/)
-- 
**[Semgrep](https://github.com/semgrep/mcp)** - Enable AI agents to secure code with [Semgrep](https://semgrep.dev/).
- 
**[Search1API](https://github.com/fatwang2/search1api-mcp)** - One API for Search, Crawling, and Sitemaps
+- **[Semgrep](https://github.com/semgrep/mcp)** - Enable AI agents to secure code with [Semgrep](https://semgrep.dev/).
- 
**[Shortcut](https://github.com/useshortcut/mcp-server-shortcut)** - Access and implement all of your projects and tasks (Stories) from [Shortcut](https://shortcut.com/).
- 
**[SingleStore](https://github.com/singlestore-labs/mcp-server-singlestore)** - Interact with the SingleStore database platform
- 
**[Snyk](https://github.com/snyk/snyk-ls/blob/main/mcp_extension/README.md)** - Enhance security posture by embedding [Snyk](https://snyk.io/) vulnerability scanning directly into agentic workflows.
+- 
**[Sophtron](https://github.com/sophtron/Sophtron-Integration/tree/main/modelcontextprotocol)** - Connect to your bank, credit card, utilities accounts to retrieve account balances and transactions with [Sophtron Bank Integration](https://sophtron.com).
- 
**[StarRocks](https://github.com/StarRocks/mcp-server-starrocks)** - Interact with [StarRocks](https://www.starrocks.io/)
+- 
**[Steadybit](https://github.com/steadybit/mcp)** - Interact with [Steadybit](https://www.steadybit.com/)
- 
**[Stripe](https://github.com/stripe/agent-toolkit)** - Interact with Stripe API
+- 
**[Tako](https://github.com/TakoData/tako-mcp)** - Use natural language to search [Tako](https://trytako.com) for real-time financial, sports, weather, and public data with visualization
- 
**[Tavily](https://github.com/tavily-ai/tavily-mcp)** - Search engine for AI agents (search + extract) powered by [Tavily](https://tavily.com/)
- 
**[Terraform](https://github.com/hashicorp/terraform-mcp-server)** - Seamlessly integrate with Terraform ecosystem, enabling advanced automation and interaction capabilities for Infrastructure as Code (IaC) development powered by [Terraform](https://www.hashicorp.com/en/products/terraform)
+- 
**[TextIn](https://github.com/intsig-textin/textin-mcp)** - An MCP server for the [TextIn](https://www.textin.com/?from=github_mcp) API, is a tool for extracting text and performing OCR on documents, it also supports converting documents into Markdown
+- 
**[Thena](https://mcp.thena.ai)** - Thena's MCP server for enabling users and AI agents to interact with Thena's services and manage customers across different channels such as Slack, Email, Web, Discord etc.
- 
**[Thirdweb](https://github.com/thirdweb-dev/ai/tree/main/python/thirdweb-mcp)** - Read/write to over 2k blockchains, enabling data querying, contract analysis/deployment, and transaction execution, powered by [Thirdweb](https://thirdweb.com/)
+- 
**[ThoughtSpot](https://github.com/thoughtspot/mcp-server)** - AI is the new BI. A dedicated data analyst for everyone on your team. Bring [ThoughtSpot](https://thoughtspot.com) powers into Claude or any MCP host.
- 
**[Tianji](https://github.com/msgbyte/tianji/tree/master/apps/mcp-server)** - Interact with Tianji platform whatever selfhosted or cloud platform, powered by [Tianji](https://tianji.msgbyte.com/).
- 
**[TiDB](https://github.com/pingcap/pytidb)** - MCP Server to interact with TiDB database platform.
- 
**[Tinybird](https://github.com/tinybirdco/mcp-tinybird)** - Interact with Tinybird serverless ClickHouse platform
@@ -264,11 +323,15 @@ Official integrations are maintained by companies building production ready MCP
- 
**[Verodat](https://github.com/Verodat/verodat-mcp-server)** - Interact with Verodat AI Ready Data platform
- 
**[VeyraX](https://github.com/VeyraX/veyrax-mcp)** - Single tool to control all 100+ API integrations, and UI components
- 
**[VictoriaMetrics](https://github.com/VictoriaMetrics-Community/mcp-victoriametrics)** - Comprehensive integration with [VictoriaMetrics APIs](https://docs.victoriametrics.com/victoriametrics/url-examples/) and [documentation](https://docs.victoriametrics.com/) for monitoring, observability, and debugging tasks related to your VictoriaMetrics instances.
+- 
**[VideoDB Director](https://github.com/video-db/agent-toolkit/tree/main/modelcontextprotocol)** - Create AI-powered video workflows including automatic editing, content moderation, voice cloning, highlight generation, and searchable video moments—all accessible via simple APIs and intuitive chat-based interfaces.
+- 
**[Vizro](https://github.com/mckinsey/vizro/tree/main/vizro-mcp)** - Tools and templates to create validated and maintainable data charts and dashboards
- 
**[WaveSpeed](https://github.com/WaveSpeedAI/mcp-server)** - WaveSpeed MCP server providing AI agents with image and video generation capabilities.
- 
**[WayStation](https://github.com/waystation-ai/mcp)** - Universal MCP server to connect to popular productivity tools such as Notion, Monday, AirTable, and many more
- 
**[Webflow](https://github.com/webflow/mcp-server)** - Interact with Webflow sites, pages, and collections
+- 
**[WebScraping.AI](https://github.com/webscraping-ai/webscraping-ai-mcp-server)** - Interact with **[WebScraping.AI](https://WebScraping.AI)** for web data extraction and scraping
- 
**[Xero](https://github.com/XeroAPI/xero-mcp-server)** - Interact with the accounting data in your business using our official MCP server
- 
**[YDB](https://github.com/ydb-platform/ydb-mcp)** - Query [YDB](https://ydb.tech/) databases
+- 
**[YepCode](https://github.com/yepcode/mcp-server-js)** - Run code in a secure, scalable sandbox environment with full support for dependencies, secrets, logs, and access to APIs or databases. Powered by [YepCode](https://yepcode.io)
- 
**[YugabyteDB](https://github.com/yugabyte/yugabytedb-mcp-server)** - MCP Server to interact with your [YugabyteDB](https://www.yugabyte.com/) database
- 
**[Yunxin](https://github.com/netease-im/yunxin-mcp-server)** - An MCP server that connects to Yunxin's IM/RTC/DATA Open-API
- 
**[Zapier](https://zapier.com/mcp)** - Connect your AI Agents to 8,000 apps instantly.
diff --git a/src/sequentialthinking/README.md b/src/sequentialthinking/README.md
index d7a03dca..fd90b9b1 100644
--- a/src/sequentialthinking/README.md
+++ b/src/sequentialthinking/README.md
@@ -77,6 +77,9 @@ Add this to your `claude_desktop_config.json`:
}
```
+To disable logging of thought information set env var: `DISABLE_THOUGHT_LOGGING` to `true`.
+Comment
+
### Usage with VS Code
For quick installation, click one of the installation buttons below...
diff --git a/src/sequentialthinking/index.ts b/src/sequentialthinking/index.ts
index c10301d7..bd486fdb 100644
--- a/src/sequentialthinking/index.ts
+++ b/src/sequentialthinking/index.ts
@@ -25,6 +25,11 @@ interface ThoughtData {
class SequentialThinkingServer {
private thoughtHistory: ThoughtData[] = [];
private branches: Record = {};
+ private disableThoughtLogging: boolean;
+
+ constructor() {
+ this.disableThoughtLogging = (process.env.DISABLE_THOUGHT_LOGGING || "").toLowerCase() === "true";
+ }
private validateThoughtData(input: unknown): ThoughtData {
const data = input as Record;
@@ -100,8 +105,10 @@ class SequentialThinkingServer {
this.branches[validatedInput.branchId].push(validatedInput);
}
- const formattedThought = this.formatThought(validatedInput);
- console.error(formattedThought);
+ if (!this.disableThoughtLogging) {
+ const formattedThought = this.formatThought(validatedInput);
+ console.error(formattedThought);
+ }
return {
content: [{