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    Mcp Server Langfuse

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

    145 stars
    TypeScript
    Updated Oct 30, 2025
    langfuse
    llm
    llmops
    mcp
    model-context-protocol
    prompt-management
    prompting

    Table of Contents

    • Demo
    • Features
    • MCP Prompt
    • Tools
    • Development
    • Usage
    • Step 1: Build
    • Step 2: Add the server to your MCP servers:
    • Claude Desktop
    • Cursor
    • Limitations

    Table of Contents

    • Demo
    • Features
    • MCP Prompt
    • Tools
    • Development
    • Usage
    • Step 1: Build
    • Step 2: Add the server to your MCP servers:
    • Claude Desktop
    • Cursor
    • Limitations

    Documentation

    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

    bash
    npm install
    
    # build current file
    npm run build
    
    # test in mcp inspector
    npx @modelcontextprotocol/inspector node ./build/index.js

    Usage

    Step 1: Build

    bash
    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

    json
    {
      "mcpServers": {
        "langfuse": {
          "command": "node",
          "args": ["/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:
    bash
    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.

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