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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 Nov 22, 2025
Not audited
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.

How to Install Langfuse

Install Langfuse MCP server with one click through FastMCP. Choose your preferred AI development tool below:

Claude Desktop

Click "Claude Desktop" in Quick Start

Cursor IDE

Click "Cursor IDE" in Quick Start

VS Code

Click "VS Code" in Quick Start

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