Merge branch 'main' into add-elevenlabs

.github/workflows/release.yml

@@ -67,6 +67,7 @@ jobs:
     needs: [create-metadata]
     if: ${{ needs.create-metadata.outputs.npm_packages != '[]' || needs.create-metadata.outputs.pypi_packages != '[]' }}
     runs-on: ubuntu-latest
+    environment: release
     outputs:
       changes_made: ${{ steps.commit.outputs.changes_made }}
     steps:
@@ -170,7 +171,7 @@ jobs:
         working-directory: src/${{ matrix.package }}
         run: |
           VERSION=$(jq -r .version package.json)
-          if npm view --json | jq --arg version "$VERSION" '[.[]][0].versions | contains([$version])'; then
+          if npm view --json | jq -e --arg version "$VERSION" '[.[]][0].versions | contains([$version])'; then
             echo "Version $VERSION already exists on npm"
             exit 1
           fi
@@ -210,3 +211,11 @@ jobs:
           gh release create "$VERSION" \
             --title "Release $VERSION" \
             --notes-file RELEASE_NOTES.md
+
+      - name: Docker MCP images
+        uses: peter-evans/repository-dispatch@v3
+        with:
+          token: ${{ secrets.DOCKER_TOKEN }}
+          repository: docker/labs-ai-tools-for-devs
+          event-type: build-mcp-images
+          client-payload: '{"ref": "${{ needs.create-metadata.outputs.version }}"}'

README.md

@@ -49,6 +49,7 @@ Official integrations are maintained by companies building production ready MCP
 - <img height="12" width="12" src="https://www.meilisearch.com/favicon.ico" alt="Meilisearch Logo" /> **[Meilisearch](https://github.com/meilisearch/meilisearch-mcp)** - Interact & query with Meilisearch (Full-text & semantic search API)
 - <img height="12" width="12" src="https://metoro.io/static/images/logos/Metoro.svg" /> **[Metoro](https://github.com/metoro-io/metoro-mcp-server)** - Query and interact with kubernetes environments monitored by Metoro
 - <img height="12" width="12" src="https://www.motherduck.com/favicon.ico" alt="MotherDuck Logo" /> **[MotherDuck](https://github.com/motherduckdb/mcp-server-motherduck)** - Query and analyze data with MotherDuck and local DuckDB
+- <img height="12" width="12" src="https://needle-ai.com/images/needle-logo-orange-2-rounded.png" alt="Needle AI Logo" /> **[Needle](https://github.com/needle-ai/needle-mcp)** - Production-ready RAG out of the box to search and retrieve data from your own documents.
 - <img height="12" width="12" src="https://neo4j.com/favicon.ico" alt="Neo4j Logo" /> **[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
 - <img height="12" width="12" src="https://qdrant.tech/img/brand-resources-logos/logomark.svg" /> **[Qdrant](https://github.com/qdrant/mcp-server-qdrant/)** - Implement semantic memory layer on top of the Qdrant vector search engine
@@ -72,6 +73,7 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[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.
 - **[BigQuery](https://github.com/LucasHild/mcp-server-bigquery)** (by LucasHild) - This server enables LLMs to inspect database schemas and execute queries on BigQuery.
 - **[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
+- **[ChatMCP](https://github.com/AI-QL/chat-mcp)** – An Open Source Cross-platform GUI Desktop application compatible with Linux, macOS, and Windows, enabling seamless interaction with MCP servers across dynamically selectable LLMs, by **[AIQL](https://github.com/AI-QL)**
 - **[ChatSum](https://github.com/mcpso/mcp-server-chatsum)** - Query and Summarize chat messages with LLM. by [mcpso](https://mcp.so)
 - **[Chroma](https://github.com/privetin/chroma)** - Vector database server for semantic document search and metadata filtering, built on Chroma
 - **[Cloudinary](https://github.com/felores/cloudinary-mcp-server)** - Cloudinary Model Context Protocol Server to upload media to Cloudinary and get back the media link and details.
@@ -83,6 +85,7 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[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.
+- **[Drupal](https://github.com/Omedia/mcp-server-drupal)** - Server for interacting with [Drupal](https://www.drupal.org/project/mcp) using STDIO transport layer.
 - **[Elasticsearch](https://github.com/cr7258/elasticsearch-mcp-server)** - MCP server implementation that provides Elasticsearch interaction.
 - **[ElevenLabs](https://github.com/mamertofabian/elevenlabs-mcp-server)** - A server that integrates with ElevenLabs text-to-speech API capable of generating full voiceovers with multiple voices.
 - **[Fetch](https://github.com/zcaceres/fetch-mcp)** - A server that flexibly fetches HTML, JSON, Markdown, or plaintext.
@@ -107,7 +110,6 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[MySQL](https://github.com/benborla/mcp-server-mysql)** (by benborla) - MySQL database integration in NodeJS with configurable access controls and schema inspection
 - **[MySQL](https://github.com/designcomputer/mysql_mcp_server)** (by DesignComputer) - MySQL database integration in Python with configurable access controls and schema inspection
 - **[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.
-- **[Needle](https://github.com/JANHMS/needle-mcp)** - Production-ready RAG out of the box to search and retrieve data from your own documents.
 - **[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.
 - **[oatpp-mcp](https://github.com/oatpp/oatpp-mcp)** - C++ MCP integration for Oat++. Use [Oat++](https://oatpp.io) to build MCP servers.
@@ -158,6 +160,7 @@ Additional resources on MCP.
 - **[mcp-get](https://mcp-get.com)** - Command line tool for installing and managing MCP servers by **[Michael Latman](https://github.com/michaellatman)**
 - **[mcp-manager](https://github.com/zueai/mcp-manager)** - Simple Web UI to install and manage MCP servers for Claude Desktop by **[Zue](https://github.com/zueai)**
 - **[MCPHub](https://github.com/Jeamee/MCPHub-Desktop)** – An Open Source MacOS & Windows GUI Desktop app for discovering, installing and managing MCP servers by **[Jeamee](https://github.com/jeamee)**
+- **[mcp.run](https://mcp.run)** - A hosted registry and control plane to install & run secure + portable MCP Servers.
 - **[Open-Sourced MCP Servers Directory](https://github.com/chatmcp/mcp-directory)** - A curated list of MCP servers by **[mcpso](https://mcp.so)**
 - **[PulseMCP](https://www.pulsemcp.com)** ([API](https://www.pulsemcp.com/api)) - Community hub & weekly newsletter for discovering MCP servers, clients, articles, and news by **[Tadas Antanavicius](https://github.com/tadasant)**, **[Mike Coughlin](https://github.com/macoughl)**, and **[Ravina Patel](https://github.com/ravinahp)**
 - **[r/mcp](https://www.reddit.com/r/mcp)** – A Reddit community dedicated to MCP by **[Frank Fiegel](https://github.com/punkpeye)**

src/fetch/src/mcp_server_fetch/server.py

@@ -81,13 +81,13 @@ async def check_may_autonomously_fetch_url(url: str, user_agent: str) -> None:
             )
         except HTTPError:
             raise McpError(ErrorData(
-                INTERNAL_ERROR,
-                f"Failed to fetch robots.txt {robot_txt_url} due to a connection issue",
+                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(ErrorData(
-                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",
+                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
@@ -98,8 +98,8 @@ 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(ErrorData(
-            INTERNAL_ERROR,
-            f"The sites robots.txt ({robot_txt_url}), specifies that autonomous fetching of this page is not allowed, "
+            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"
@@ -125,11 +125,11 @@ async def fetch_url(
                 timeout=30,
             )
         except HTTPError as e:
-            raise McpError(ErrorData(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(ErrorData(
-                INTERNAL_ERROR,
-                f"Failed to fetch {url} - status code {response.status_code}",
+                code=INTERNAL_ERROR,
+                message=f"Failed to fetch {url} - status code {response.status_code}",
             ))
 
         page_raw = response.text
@@ -222,11 +222,11 @@ async def call_tool(name, arguments: dict) -> list[TextContent]:
         try:
             args = Fetch(**arguments)
         except ValueError as e:
-            raise McpError(ErrorData(INVALID_PARAMS, str(e)))
+            raise McpError(ErrorData(code=INVALID_PARAMS, message=str(e)))
 
         url = str(args.url)
         if not url:
-            raise McpError(ErrorData(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)
@@ -254,7 +254,7 @@ async def call_tool(name, arguments: dict) -> list[TextContent]:
     @server.get_prompt()
     async def get_prompt(name: str, arguments: dict | None) -> GetPromptResult:
         if not arguments or "url" not in arguments:
-            raise McpError(ErrorData(INVALID_PARAMS, "URL is required"))
+            raise McpError(ErrorData(code=INVALID_PARAMS, message="URL is required"))
 
         url = arguments["url"]