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.
This is the public MCP server for the Langfuse documentation. There is also an authenticated MCP server to integrate with the rest of the Langfuse data platform (docs).
Install
Add Langfuse Docs MCP to Cursor via the one-click install:
Manual configuration
Add the following to your mcp.json:
{
"mcpServers": {
"langfuse-docs": {
"url": "https://langfuse.com/api/mcp"
}
}
}Add Langfuse Docs MCP to Copilot in VSCode via the one-click install:
Manual configuration
Add Langfuse Docs MCP to Copilot in VSCode via the following steps:
- Open Command Palette (⌘+Shift+P)
- Open "MCP: Add Server..."
- Select
HTTP - Paste
https://langfuse.com/api/mcp - Select name (e.g.
langfuse-docs) and whether to save in user or workspace settings - You're all set! The MCP server is now available in Agent mode
Add Langfuse Docs MCP to Claude Code via the CLI:
claude mcp add \
--transport http \
langfuse-docs \
https://langfuse.com/api/mcp \
--scope userManual configuration
Alternatively, add the following to your settings file:
- User scope:
~/.claude/settings.json - Project scope:
your-repo/.claude/settings.json - Local scope:
your-repo/.claude/settings.local.json
{
"mcpServers": {
"langfuse-docs": {
"transportType": "http",
"url": "https://langfuse.com/api/mcp",
"verifySsl": true
}
}
}One-liner JSON import
claude mcp add-json langfuse-docs \
'{"type":"http","url":"https://langfuse.com/api/mcp"}'Once added, start a Claude Code session (claude) and type /mcp to confirm the connection.
Add Langfuse Docs MCP to Windsurf via the following steps:
-
Open Command Palette (⌘+Shift+P)
-
Open "MCP Configuration Panel"
-
Select
Add custom server -
Add the following configuration:
{ "mcpServers": { "langfuse-docs": { "command": "npx", "args": ["mcp-remote", "https://langfuse.com/api/mcp"] } } }
Langfuse uses the streamableHttp protocol to communicate with the MCP server. This is supported by most clients.
{
"mcpServers": {
"langfuse-docs": {
"url": "https://langfuse.com/api/mcp"
}
}
}If you use a client that does not support streamableHttp (e.g. Windsurf), you can use the mcp-remote command as a local proxy.
{
"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 fullhttps://langfuse.comURL. 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: route.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: concise overview with page titles and links to detailed sub-files (llms-docs.txt, llms-integrations.txt, llms-self-hosting.txt)
REST Endpoint
The underlying docs search (searchLangfuseDocs tool) is also available independently as a REST API at https://langfuse.com/api/search-docs.
curl "https://langfuse.com/api/search-docs?query=Langfuse+Docs+MCP+Server"Use this endpoint directly when you need lightweight semantic search outside of MCP.