Langfuse Docs MCP Server

The Langfuse Docs MCP server exposes the Langfuse docs to AI agents.

Core use case: Use Cursor (or other AI Coding Agent) to automatically integrate Langfuse Tracing into your codebase, see get started for detailed instructions and an example prompt.

Install

{
  "mcpServers": {
    "langfuse-docs": {
      "url": "https://langfuse.com/api/mcp"
    }
  }
}

claude mcp add \
  --transport http \
  langfuse-docs \
  https://langfuse.com/api/mcp \
  --scope user

{
  "mcpServers": {
    "langfuse-docs": {
      "transportType": "http",
      "url": "https://langfuse.com/api/mcp",
      "verifySsl": true
    }
  }
}

claude mcp add-json langfuse-docs \
  '{"type":"http","url":"https://langfuse.com/api/mcp"}'

{
  "mcpServers": {
    "langfuse-docs": {
      "url": "https://langfuse.com/api/mcp"
    }
  }
}

{
  "mcpServers": {
    "langfuse-docs": {
      "command": "npx",
      "args": ["mcp-remote", "https://langfuse.com/api/mcp"]
    }
  }
}

About

• Endpoint: https://langfuse.com/api/mcp

• Transport: streamableHttp

• Authentication: None

• Tools:

  • searchLangfuseDocs: Semantic search (RAG) over the Langfuse documentation. Returns a concise answer synthesized from relevant docs. Use for broader questions; prefer getLangfuseDocsPage for specific pages. Powered by Inkeep RAG API.
  • getLangfuseDocsPage: Fetch the raw Markdown for a specific Langfuse docs page. Accepts a docs path (e.g., /docs/observability/overview) or a full https://langfuse.com URL. Use for specific pages, integrations, or code samples.
  • getLangfuseOverview: Get a high-level index by fetching llms.txt. Use at the start of a session to discover key docs endpoints. Avoid repeated calls.

References

• Implementation of the MCP server: mcp.ts
• Agentic Onboarding powered by the MCP server
• Ask AI: RAG chat with the Langfuse docs to get answers to your questions
• langfuse.com/llms.txt: overview of all relevant links from the Langfuse docs