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Langfuse 提示管理 MCP 服务器

by marcklingen

Model Context Protocol (MCP) 服务器，用于 Langfuse 提示管理。需要通过环境变量配置 Langfuse API 密钥，包括 LANGFUSE_PUBLIC_KEY、LANGFUSE_SECRET_KEY，及可选的 LANGFUSE_BASEURL。

Developer toolsstdioCommunity

Repository-wide counts · Cached 2026-03-07

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Overview

The Langfuse 提示管理 MCP 服务器 MCP server is a publicly available project. Review the upstream repository for installation instructions, supported tools, compatibility, permissions, and current maintenance status.

Configuration

Configuration, transport, authentication, and runtime requirements vary by project. Open the repository before connecting and use the smallest set of credentials and permissions required.

Open the Langfuse 提示管理 MCP 服务器 repository to read the latest documentation.

KEEP EXPLORING

Compare source, connection, and authentication details before choosing an implementation.

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A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright. Enables LLMs to interact with web pages through structured accessibility snapshots, bypassing the need for screenshots or visually-tuned models.

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AIHawk is an anti detect browser and web browsing agent, open source, with an MCP server for coding agents: undetected, no captchas, no blocks. It requires an OpenRouter API key for the standalone web UI mode, which can be provided via the --openrouter-key flag or the OPENROUTER_API_KEY environment variable or a .env file in the running directory.

Developer tools
FROM THE SOURCE

Repository README

Build-time snapshot · Retrieved 2026-10-05

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Langfuse Prompt Management MCP Server

Model Context Protocol (MCP) Server for Langfuse Prompt Management. This server allows you to access and manage your Langfuse prompts through the Model Context Protocol.

Demo

Quick demo of Langfuse Prompts MCP in Claude Desktop (unmute for voice-over explanations):

https://github.com/user-attachments/assets/61da79af-07c2-4f69-b28c-ca7c6e606405

Features

MCP Prompt

This server implements the MCP Prompts specification for prompt discovery and retrieval.

  • prompts/list: List all available prompts

    • Optional cursor-based pagination
    • Returns prompt names and their required arguments, limitation: all arguments are assumed to be optional and do not include descriptions as variables do not have specification in Langfuse
    • Includes next cursor for pagination if there's more than 1 page of prompts

  • prompts/get: Get a specific prompt

    • Transforms Langfuse prompts (text and chat) into MCP prompt objects
    • Compiles prompt with provided variables

Tools

To increase compatibility with other MCP clients that do not support the prompt capability, the server also exports tools that replicate the functionality of the MCP Prompts.

  • get-prompts: List available prompts

    • Optional cursor parameter for pagination
    • Returns a list of prompts with their arguments

  • get-prompt: Retrieve and compile a specific prompt

    • Required name parameter: Name of the prompt to retrieve
    • Optional arguments parameter: JSON object with prompt variables

Development

npm install

# build current file
npm run build

# test in mcp inspector
npx @modelcontextprotocol/inspector node ./build/index.js

Usage

Step 1: Build

npm install
npm run build

Step 2: Add the server to your MCP servers:

Claude Desktop

Configure Claude for Desktop by editing claude_desktop_config.json

{
  "mcpServers": {
    "langfuse": {
      "command": "node",
      "args": ["<absolute-path>/build/index.js"],
      "env": {
        "LANGFUSE_PUBLIC_KEY": "your-public-key",
        "LANGFUSE_SECRET_KEY": "your-secret-key",
        "LANGFUSE_BASEURL": "https://cloud.langfuse.com"
      }
    }
  }
}

Make sure to replace the environment variables with your actual Langfuse API keys. The server will now be available to use in Claude Desktop.

Cursor

Add new server to Cursor:

  • Name: Langfuse Prompts
  • Type: command
  • Command:
    LANGFUSE_PUBLIC_KEY="your-public-key" LANGFUSE_SECRET_KEY="your-secret-key" LANGFUSE_BASEURL="https://cloud.langfuse.com" node absolute-path/build/index.js

Limitations

The MCP Server is a work in progress and has some limitations:

  • Only prompts with a production label in Langfuse are returned
  • All arguments are assumed to be optional and do not include descriptions as variables do not have specification in Langfuse
  • List operations require fetching each prompt individually in the background to extract the arguments, this works but is not efficient

Contributions are welcome! Please open an issue or a PR (repo) if you have any suggestions or feedback.