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langfuse-mcp / setup / langgraph
Setup guide

Set up langfuse-mcp in LangGraph

communityunknownunknownno verified config · noindex

A Model Context Protocol (MCP) server for Langfuse, enabling AI agents to query Langfuse trace data for enhanced debugging and observability

01Configuration
# langfuse-mcp via LangGraph # transport: unknown # launch: the server's install method

LangGraph connects to MCP servers in code. Use its MCP client with the command/URL below; exact API varies by version.

02Steps
  1. Make sure LangGraph is installed and up to date.
  2. Wire the server into LangGraph using its MCP client API.
  3. Provide any required API keys/credentials as environment variables.
  4. Restart LangGraph and confirm langfuse-mcp’s tools appear.
03Other runtimes
Claude DesktopCursorWindsurfClineContinueGooseVS CodeOpenAI Agents SDKCrewAI
04Provenance
config_sourcegenerated from captured install method
last_checked2026-06-30 01:17Z
sourcesGitHub repo search [p4]
Next step

Ship langfuse-mcp to your agents as a governed Loadout — config, scopes, and approval rules in one place.

Build a Loadout

See also: server page · is it safe? · alternatives