MCP.so
ログイン

Langfuse MCP

@therealsachin

リポジトリ

Langfuse MCP について

Production-ready Langfuse MCP Server with 28 tools for LLM analytics, cost monitoring, and dataset management. Features secure dual-mode operation (readonly & readwrite), real-time cost analysis, trace debugging, and comprehensive usage insights. Deploy instantly with npx for sea

#langfuse#analytics#llm#cost-monitoring#tracing#observability#datasets#ai-tools#production#debugging

基本情報

カテゴリ

データと分析

トランスポート

stdio

公開者

therealsachin

投稿者

Sachin Shenoy

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "langfuse-mcp": {
      "command": "npx",
      "args": [
        "langfuse-mcp"
      ],
      "env": {
        "LANGFUSE_SECRET_KEY": "<YOUR_LANGFUSE_SECRET_KEY>",
        "LANGFUSE_PUBLIC_KEY": "<YOUR_LANGFUSE_PUBLIC_KEY>",
        "LANGFUSE_HOST": "<YOUR_LANGFUSE_URL>"
      }
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Langfuse MCP?

Comprehensive MCP server providing 28 powerful tools for Langfuse analytics, cost monitoring, and dataset management. Built for production environments with enterprise-grade security features.

How to use Langfuse MCP?

Run npx @therealsachin/langfuse-mcp --readwrite with environment variables LANGFUSE_PUBLIC_KEY, LANGFUSE_SECRET_KEY, and LANGFUSE_BASEURL. Alternatively install globally via npm and run with --readonly or set the LANGFUSE_MCP_MODE environment variable.

Key features of Langfuse MCP

  • Real-time analytics: cost analysis, usage tracking, trace debugging
  • Dual security modes: readonly (default) and readwrite with audit logging
  • Dataset management: complete CRUD operations for training datasets
  • Advanced debugging: trace details, observation analysis, model insights
  • Cost optimization: usage by model/service, expensive trace identification
  • Production security: HTTPS validation, pre-commit hooks, credential scanning

Use cases of Langfuse MCP

  • AI teams managing LLM costs and performance
  • DevOps engineers monitoring production AI systems
  • Data scientists analyzing model usage patterns
  • Product teams optimizing AI feature costs

FAQ from Langfuse MCP

What security modes does Langfuse MCP support?

Langfuse MCP supports two modes: readonly (safe default) and readwrite (requires explicit --readwrite flag). Audit logging and HTTPS enforcement are included.

What environment variables are required to run Langfuse MCP?

You need LANGFUSE_PUBLIC_KEY, LANGFUSE_SECRET_KEY, and optionally LANGFUSE_BASEURL (defaults to https://us.cloud.langfuse.com).

How can I install Langfuse MCP?

You can run it via npx (npx @therealsachin/langfuse-mcp) or install globally with npm (npm install -g @therealsachin/langfuse-mcp).

How does Langfuse MCP ensure production security?

It enforces HTTPS to prevent credential leaks, provides pre-commit hooks with Gitleaks integration for credential scanning, and logs all write operations for audit.

コメント

「データと分析」の他のコンテンツ

MCP From Zero: Quick Data

disler

Prompt focused MCP Server for .json and .csv agentic data analytics for Claude Code

149

🎓 Semantic Scholar MCP Server

JackKuo666

🔍 This project implements a Model Context Protocol (MCP) server for interacting with the Semantic Scholar API. It provides tools for searching papers, retrieving paper and author details, and fetching citations and references.

75

MCP Server for Deep Research

reading-plus-ai

211

HubSpot MCP Server

peakmojo

A Model Context Protocol (MCP) server that enables AI assistants to interact with HubSpot CRM data, providing built-in vector storage and caching mechanisms help overcome HubSpot API limitations while improving response times.

128

mcp-server-apache-airflow

yangkyeongmo

169