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Langfuse MCP Server

@therealsachin

リポジトリ

基本情報

カテゴリ

データと分析

トランスポート

stdio

作者

therealsachin

投稿者

Sachin Shenoy

Langfuse MCP Server 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

Langfuse MCP Server の設定

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>"
      }
    }
  }
}

Langfuse MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

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

よくある質問

1

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.

2

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`).

3

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`).

4

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.

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