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Langfuse Prompt Management MCP Server

Langfuse Prompt Management MCP Server

Local
langfuse.comAI & Agents176Updated 89w ago

About Langfuse Prompt Management MCP Server

Langfuse Prompt Management MCP Server is an MCP server for accessing and managing prompts stored in Langfuse. It is intended for teams that keep prompts in Langfuse and want MCP clients to list and compile them.

Key features

  1. 01prompts/list for listing available prompts
  2. 02prompts/get for retrieving and compiling prompts
  3. 03Tool equivalents for clients without prompt support
  4. 04Supports both text and chat prompt formats

Use cases

  1. 01Use Langfuse prompts inside Claude Desktop
  2. 02Reuse managed prompts in Cursor
  3. 03Compile prompts with variables before sending them to a model

MCP support

This project is an MCP server that implements the MCP Prompts specification and also exposes get-prompts and get-prompt tools for MCP clients to access Langfuse prompts.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"langfuse": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/inspector"
]
}
}
}
Run commandnpx -y @modelcontextprotocol/inspector

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@modelcontextprotocol/inspector

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

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.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.