Merge branch 'main' into add_rijksmuseum_mcp

2026-04-27 00:05:14 +02:00 · 2025-01-15 19:45:25 +01:00
parent a19b414755 53f4a23b73
commit f7b00975c8
18 changed files with 152 additions and 123 deletions
--- a/README.md
+++ b/README.md
@@ -79,7 +79,9 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[coin_api_mcp](https://github.com/longmans/coin_api_mcp)** - Provides access to [coinmarketcap](https://coinmarketcap.com/) cryptocurrency data.
 - **[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.
 - **[Data Exploration](https://github.com/reading-plus-ai/mcp-server-data-exploration)** - MCP server for autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort. NOTE: Will execute arbitrary Python code on your machine, please use with caution!
+- **[Dataset Viewer](https://github.com/privetin/dataset-viewer)** - Browse and analyze Hugging Face datasets with features like search, filtering, statistics, and data export
 - **[DevRev](https://github.com/kpsunil97/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).
+- **[Dify](https://github.com/YanxingLiu/dify-mcp-server)** - A simple implementation of an MCP server for dify workflows.
 - **[Docker](https://github.com/ckreiling/mcp-server-docker)** - Integrate with Docker to manage containers, images, volumes, and networks.
 - **[Elasticsearch](https://github.com/cr7258/elasticsearch-mcp-server)** - MCP server implementation that provides Elasticsearch interaction.
 - **[Fetch](https://github.com/zcaceres/fetch-mcp)** - A server that flexibly fetches HTML, JSON, Markdown, or plaintext.
@@ -111,10 +113,13 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[oatpp-mcp](https://github.com/oatpp/oatpp-mcp)** - C++ MCP integration for Oat++. Use [Oat++](https://oatpp.io) to build MCP servers.
 - **[Obsidian Markdown Notes](https://github.com/calclavia/mcp-obsidian)** - Read and search through your Obsidian vault or any directory containing Markdown notes
 - **[OpenAPI](https://github.com/snaggle-ai/openapi-mcp-server)** - Interact with [OpenAPI](https://www.openapis.org/) APIs.
+- **[OpenCTI](https://github.com/Spathodea-Network/opencti-mcp)** - Interact with OpenCTI platform to retrieve threat intelligence data including reports, indicators, malware and threat actors.
 - **[OpenRPC](https://github.com/shanejonas/openrpc-mpc-server)** - Interact with and discover JSON-RPC APIs via [OpenRPC](https://open-rpc.org).
 - **[Pandoc](https://github.com/vivekVells/mcp-pandoc)** - MCP server for seamless document format conversion using Pandoc, supporting Markdown, HTML, and plain text, with other formats like PDF, csv and docx in development.
 - **[Pinecone](https://github.com/sirmews/mcp-pinecone)** - MCP server for searching and uploading records to Pinecone. Allows for simple RAG features, leveraging Pinecone's Inference API.
+- **[Placid.app](https://github.com/felores/placid-mcp-server)** - Generate image and video creatives using Placid.app templates
 - **[Playwright](https://github.com/executeautomation/mcp-playwright)** - This MCP Server will help you run browser automation and webscraping using Playwright
+- **[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.
 - **[RAG Web Browser](https://github.com/apify/mcp-server-rag-web-browser)** An MCP server for Apify's RAG Web Browser Actor to perform web searches, scrape URLs, and return content in Markdown.
 - **[Rememberizer AI](https://github.com/skydeckai/mcp-server-rememberizer)** - An MCP server designed for interacting with the Rememberizer data source, facilitating enhanced knowledge retrieval.
 - **[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.
--- a/package-lock.json
+++ b/package-lock.json
@@ -2497,9 +2497,10 @@
      "integrity": "sha512-wnD2ZE+l+SPC/uoS0vXeE9L1+0wuaMqKlfz9AMUo38JsyLSBWSFcHR1Rri62LZc12vLr1gb3jl7iwQhgwpAbGQ=="
    },
    "node_modules/express": {
-      "version": "4.21.1",
-      "resolved": "https://registry.npmjs.org/express/-/express-4.21.1.tgz",
-      "integrity": "sha512-YSFlK1Ee0/GC8QaO91tHcDxJiE/X4FbpAyQWkxAvG6AXCuR65YzK8ua6D9hvi/TzUfZMpc+BwuM1IPw8fmQBiQ==",
+      "version": "4.21.2",
+      "resolved": "https://registry.npmjs.org/express/-/express-4.21.2.tgz",
+      "integrity": "sha512-28HqgMZAmih1Czt9ny7qr6ek2qddF4FclbMzwhCREB6OFfH+rXAnuNCwo1/wFvrtbgsQDb4kSbX9de9lFbrXnA==",
+      "license": "MIT",
      "dependencies": {
        "accepts": "~1.3.8",
        "array-flatten": "1.1.1",
@@ -2520,7 +2521,7 @@
        "methods": "~1.1.2",
        "on-finished": "2.4.1",
        "parseurl": "~1.3.3",
-        "path-to-regexp": "0.1.10",
+        "path-to-regexp": "0.1.12",
        "proxy-addr": "~2.0.7",
        "qs": "6.13.0",
        "range-parser": "~1.2.1",
@@ -2535,6 +2536,10 @@
      },
      "engines": {
        "node": ">= 0.10.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/express"
      }
    },
    "node_modules/extend": {
@@ -3770,9 +3775,10 @@
      "license": "ISC"
    },
    "node_modules/path-to-regexp": {
-      "version": "0.1.10",
-      "resolved": "https://registry.npmjs.org/path-to-regexp/-/path-to-regexp-0.1.10.tgz",
-      "integrity": "sha512-7lf7qcQidTku0Gu3YDPc8DJ1q7OOucfa/BSsIwjuh56VU7katFvuM8hULfkwB3Fns/rsVF7PwPKVw1sl5KQS9w=="
+      "version": "0.1.12",
+      "resolved": "https://registry.npmjs.org/path-to-regexp/-/path-to-regexp-0.1.12.tgz",
+      "integrity": "sha512-RA1GjUVMnvYFxuqovrEqZoxxW5NUZqbwKtYz/Tt7nXerk0LbLblQmrsgdeOxV5SFHf0UDggjS/bSeOZwt1pmEQ==",
+      "license": "MIT"
    },
    "node_modules/pend": {
      "version": "1.2.0",
--- a/src/aws-kb-retrieval-server/Dockerfile
+++ b/src/aws-kb-retrieval-server/Dockerfile
@@ -1,4 +1,4 @@
-FROM node:22.12-alpine as builder
+FROM node:22.12-alpine AS builder

 COPY src/aws-kb-retrieval-server /app
 COPY tsconfig.json /tsconfig.json
--- a/src/brave-search/Dockerfile
+++ b/src/brave-search/Dockerfile
@@ -1,4 +1,4 @@
-FROM node:22.12-alpine as builder
+FROM node:22.12-alpine AS builder

 # Must be entire project because `prepare` script is run during `npm install` and requires all files.
 COPY src/brave-search /app
--- a/src/everart/Dockerfile
+++ b/src/everart/Dockerfile
@@ -1,4 +1,4 @@
-FROM node:22.12-alpine as builder
+FROM node:22.12-alpine AS builder

 COPY src/everart /app
 COPY tsconfig.json /tsconfig.json
--- a/src/everything/Dockerfile
+++ b/src/everything/Dockerfile
@@ -1,4 +1,4 @@
-FROM node:22.12-alpine as builder
+FROM node:22.12-alpine AS builder

 COPY src/everything /app
 COPY tsconfig.json /tsconfig.json
--- a/src/fetch/pyproject.toml
+++ b/src/fetch/pyproject.toml
@@ -17,7 +17,7 @@ classifiers = [
 ]
 dependencies = [
    "markdownify>=0.13.1",
-    "mcp>=1.0.0",
+    "mcp>=1.1.3",
    "protego>=0.3.1",
    "pydantic>=2.0.0",
    "readabilipy>=0.2.0",
--- a/src/fetch/src/mcp_server_fetch/server.py
+++ b/src/fetch/src/mcp_server_fetch/server.py
@@ -7,6 +7,7 @@ from mcp.shared.exceptions import McpError
 from mcp.server import Server
 from mcp.server.stdio import stdio_server
 from mcp.types import (
+    ErrorData,
    GetPromptResult,
    Prompt,
    PromptArgument,
@@ -79,15 +80,15 @@ async def check_may_autonomously_fetch_url(url: str, user_agent: str) -> None:
                headers={"User-Agent": user_agent},
            )
        except HTTPError:
-            raise McpError(
-                INTERNAL_ERROR,
-                f"Failed to fetch robots.txt {robot_txt_url} due to a connection issue",
-            )
+            raise McpError(ErrorData(
+                code=INTERNAL_ERROR,
+                message=f"Failed to fetch robots.txt {robot_txt_url} due to a connection issue",
+            ))
        if response.status_code in (401, 403):
-            raise McpError(
-                INTERNAL_ERROR,
-                f"When fetching robots.txt ({robot_txt_url}), received status {response.status_code} so assuming that autonomous fetching is not allowed, the user can try manually fetching by using the fetch prompt",
-            )
+            raise McpError(ErrorData(
+                code=INTERNAL_ERROR,
+                message=f"When fetching robots.txt ({robot_txt_url}), received status {response.status_code} so assuming that autonomous fetching is not allowed, the user can try manually fetching by using the fetch prompt",
+            ))
        elif 400 <= response.status_code < 500:
            return
        robot_txt = response.text
@@ -96,15 +97,15 @@ async def check_may_autonomously_fetch_url(url: str, user_agent: str) -> None:
    )
    robot_parser = Protego.parse(processed_robot_txt)
    if not robot_parser.can_fetch(str(url), user_agent):
-        raise McpError(
-            INTERNAL_ERROR,
-            f"The sites robots.txt ({robot_txt_url}), specifies that autonomous fetching of this page is not allowed, "
+        raise McpError(ErrorData(
+            code=INTERNAL_ERROR,
+            message=f"The sites robots.txt ({robot_txt_url}), specifies that autonomous fetching of this page is not allowed, "
            f"<useragent>{user_agent}</useragent>\n"
            f"<url>{url}</url>"
            f"<robots>\n{robot_txt}\n</robots>\n"
            f"The assistant must let the user know that it failed to view the page. The assistant may provide further guidance based on the above information.\n"
            f"The assistant can tell the user that they can try manually fetching the page by using the fetch prompt within their UI.",
-        )
+        ))


 async def fetch_url(
@@ -124,12 +125,12 @@ async def fetch_url(
                timeout=30,
            )
        except HTTPError as e:
-            raise McpError(INTERNAL_ERROR, f"Failed to fetch {url}: {e!r}")
+            raise McpError(ErrorData(code=INTERNAL_ERROR, message=f"Failed to fetch {url}: {e!r}"))
        if response.status_code >= 400:
-            raise McpError(
-                INTERNAL_ERROR,
-                f"Failed to fetch {url} - status code {response.status_code}",
-            )
+            raise McpError(ErrorData(
+                code=INTERNAL_ERROR,
+                message=f"Failed to fetch {url} - status code {response.status_code}",
+            ))

        page_raw = response.text

@@ -221,11 +222,11 @@ Although originally you did not have internet access, and were advised to refuse
        try:
            args = Fetch(**arguments)
        except ValueError as e:
-            raise McpError(INVALID_PARAMS, str(e))
+            raise McpError(ErrorData(code=INVALID_PARAMS, message=str(e)))

        url = str(args.url)
        if not url:
-            raise McpError(INVALID_PARAMS, "URL is required")
+            raise McpError(ErrorData(code=INVALID_PARAMS, message="URL is required"))

        if not ignore_robots_txt:
            await check_may_autonomously_fetch_url(url, user_agent_autonomous)
@@ -253,7 +254,7 @@ Although originally you did not have internet access, and were advised to refuse
    @server.get_prompt()
    async def get_prompt(name: str, arguments: dict | None) -> GetPromptResult:
        if not arguments or "url" not in arguments:
-            raise McpError(INVALID_PARAMS, "URL is required")
+            raise McpError(ErrorData(code=INVALID_PARAMS, message="URL is required"))

        url = arguments["url"]

--- a/src/fetch/uv.lock
+++ b/src/fetch/uv.lock
@@ -48,71 +48,63 @@ wheels = [

 [[package]]
 name = "charset-normalizer"
-version = "3.4.0"
+version = "3.4.1"
 source = { registry = "https://pypi.org/simple" }
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+sdist = { url = "https://files.pythonhosted.org/packages/16/b0/572805e227f01586461c80e0fd25d65a2115599cc9dad142fee4b747c357/charset_normalizer-3.4.1.tar.gz", hash = "sha256:44251f18cd68a75b56585dd00dae26183e102cd5e0f9f1466e6df5da2ed64ea3", size = 123188 }
 wheels = [
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 [[package]]
--- a/src/filesystem/Dockerfile
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