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Langfuse

Connects AI models to Langfuse analytics workspaces, enabling access to LLM performance metrics by t...

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Updated Sep 9, 2025
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Connects AI models to Langfuse analytics workspaces, enabling access to LLM performance metrics by time range for monitoring and analysis.
  1. Create a Langfuse Project

    • Go to the Langfuse web app and log in or create an account if you don’t have one.
    • Create a new project in your Langfuse dashboard.
  2. Obtain Your Project Keys

    • After creating your project, navigate to the project's settings in the Langfuse dashboard.
    • Locate the “API Keys” or “Keys” section. Here, you will find:
      • Public Key
      • Private Key
    • Copy both the Project Public Key and the Project Private Key.
  3. Determine the Langfuse Domain (Optional)

    • By default, use https://api.langfuse.com. If your Langfuse instance runs on a different domain, copy that domain URL.
  4. Fill in the FastMCP Connection Interface

    • Click the Install Now button for the Langfuse MCP connector.
    • In the FastMCP connection interface, paste the following values:
      • LANGFUSE_DOMAIN: (Use https://api.langfuse.com unless otherwise specified)
      • LANGFUSE_PUBLIC_KEY: (Your project's Public Key)
      • LANGFUSE_PRIVATE_KEY: (Your project's Private Key)
    • Save the configuration to complete the setup.

Note: Your API keys grant access to your Langfuse project—keep them secure and do not share them publicly.

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