Langfuse Prompt Management

By langfuseCreated 4 days ago
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Open-source tool for collaborative editing, versioning, evaluating, and releasing prompts.

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Category

Official MCP Server

Tags

LangfusePrompt ManagementAi DevelopmentMcp Server

What is Langfuse Prompt Management?

Langfuse Prompt Management is an open-source tool for collaborative editing, versioning, evaluating, and releasing prompts. It provides an MCP (Model Context Protocol) server that allows users to access and manage their Langfuse prompts through the Model Context Protocol, enabling seamless integration with other MCP-compatible tools.

How to use Langfuse Prompt Management?

  1. Installation: Run npm install followed by npm run build to set up the server.
  2. Configuration: Configure the MCP server in platforms like Claude Desktop or Cursor by specifying the command and environment variables (Langfuse keys).
  3. Usage: Access prompts via MCP endpoints (prompts/list, prompts/get) or use tool endpoints (get-prompts, get-prompt).

Key features of Langfuse Prompt Management?

  • MCP Prompt Endpoints: List and retrieve prompts with pagination and variable handling.
  • Tool Compatibility: Provides alternative tool endpoints for platforms without MCP support.
  • Integration: Works with Claude Desktop and Cursor, allowing prompt management within AI workflows.

Use cases of Langfuse Prompt Management?

  1. Collaborative Prompt Development: Teams can collaboratively build and version prompt templates.
  2. AI Workflow Integration: Enhance AI applications by dynamically retrieving managed prompts.
  3. Prompt Evaluation: Track and evaluate prompt performance through Langfuse’s analytics.

FAQ from Langfuse Prompt Management?

  • What is the difference between MCP Prompt endpoints and tool endpoints?

    MCP endpoints (prompts/list, prompts/get) follow the Model Context Protocol specification, while tools (get-prompts, get-prompt) are fallback endpoints for non-MCP compatible clients.

  • Are there any limitations?

    Yes, it currently only supports prompts with a production label in Langfuse and assumes all arguments are optional. List operations may be inefficient due to background prompt fetching.

  • How can I contribute?

    Contributions are welcome! Open an issue or PR on GitHub (repo).