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langfuse-mcp
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langfuse-mcp

Active·★ 113·MIT·Updated 2026-10-11

Langfuse MCP Server is a Model Context Protocol server for Langfuse observability. It provides 37 tools across 9 categories including traces, observations, sessions, exceptions, prompts, datasets, annotation queues, scores, and schema. It supports selective tool loading and read-only mode, and can be used with various MCP clients like Claude Code, Cursor, and Codex CLI.

#agent-skills#ai-agents#claude-code#codex#developer-tools#genai#langfuse#llm
$ Install
$ pip install langfuse-mcp
↗ Visit site★ GitHub
01

Features

01Comprehensive observability tools (traces, observations, sessions, exceptions, prompts, datasets, annotation queues, scores, schema)
02Selective tool loading to reduce token overhead
03Read-only mode for safe access
04Dataset item upsert functionality
05Includes a skill with debugging playbooks
02

Compatibility

Claude Code
MCP Client
Verified via docs
Codex CLI
MCP Client
Verified via docs
Cursor
MCP Client
Verified via docs
03

Quick start

1
$ pip install langfuse-mcp
04

Use cases

↳Debug production errors by querying traces and exceptions
↳Analyze user sessions for performance optimization
↳Manage prompts and datasets for LLM evaluation
05

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On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
avivsinai /
langfuse-mcp
↗

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

113MIT
Last commit1w ago
StatusActive
CategoryObservability
Links
Documentation↗Discussion↗Issues↗Releases↗
Cloud Infrastructure
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