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Langfuse Prompt Management MCP Server

by gosarikak

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.

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

  • update-prompt: Create new prompt versions or update existing ones, with production promotion

    • Required name parameter: Name of the prompt to create or update

    • Optional prompt parameter: The prompt content (string for text prompts, array of message objects for chat prompts). Required when creating new versions, omit when only updating labels.

    • Optional version parameter: Specific version number to update labels on. If provided, only labels will be updated. If omitted, creates a new version.

    • Optional type parameter: Type of prompt ("text" or "chat", defaults to "text")

    • Optional config parameter: Configuration object for model parameters (e.g., temperature, model name)

    • Optional labels parameter: Array of labels to assign to this prompt version (e.g., ["staging", "production"])

    • Optional tags parameter: Array of tags to categorize the prompt

    • Optional promoteToProduction parameter: Boolean to automatically add "production" label (defaults to false)

Related MCP server: PromptDB MCP Server

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

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