Langfuse

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Work with Langfuse prompts, observations, datasets, scores, evaluators and dashboards for LLM apps from your AI assistant.

state.key.long (state.key.title)Streamable HTTP

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https://cloud.langfuse.com/api/public/mcp

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mcp.tc/i/langfuse

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Connects an AI assistant to a Langfuse project, the open source LLM engineering platform for tracing, prompt management and evaluation. The assistant can work with prompts, observations, datasets, scores, evaluators and dashboards for your LLM applications.

Runs as a hosted streamable HTTP endpoint on Langfuse Cloud (https://cloud.langfuse.com/api/public/mcp), with US, Japan and HIPAA region endpoints, and at your-host/api/public/mcp for self-hosted instances. Authentication uses a Basic Authorization header built from your project public and secret API keys.

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  • Read and manage prompts stored in Langfuse
  • Inspect observations from LLM application traces
  • Work with datasets used for evaluation
  • Review and create scores
  • Manage evaluators and dashboards
  • Use cloud regions or a self-hosted Langfuse instance

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  • List the prompts in my Langfuse project and show the latest version of each.

  • Show recent observations that had low scores in Langfuse.

  • Add these test cases to my Langfuse dataset for the support bot.

  • Which evaluators are configured in my Langfuse project?

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Claude Code

  1. Run this in a terminal, in your project folder:
claude mcp add --transport http langfuse https://cloud.langfuse.com/api/public/mcp
  1. Start Claude Code and type /mcp. langfuse should show as connected.

Langfuse needs an API key. Langfuse's docs say which header carries it; most servers use Authorization: Bearer <YOUR_API_KEY>.

Claude Desktop

  1. Custom connectors can't send this server's key header, so use the mcp-remote bridge. Open Settings → Developer → Edit Config and add:
claude_desktop_config.json
{
  "mcpServers": {
    "langfuse": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://cloud.langfuse.com/api/public/mcp"
      ]
    }
  }
}
  1. Replace the placeholder with your key and restart Claude Desktop.

The bridge needs Node.js on your computer.

Cursor

Or add it by hand to ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (this project):

mcp.json
{
  "mcpServers": {
    "langfuse": {
      "url": "https://cloud.langfuse.com/api/public/mcp"
    }
  }
}

Langfuse needs an API key. Langfuse's docs say which header carries it; most servers use Authorization: Bearer <YOUR_API_KEY>.

VS Code

Or from a terminal:

code --add-mcp '{"name":"langfuse","type":"http","url":"https://cloud.langfuse.com/api/public/mcp"}'

Or commit it to the repo in .vscode/mcp.json:

.vscode/mcp.json
{
  "servers": {
    "langfuse": {
      "type": "http",
      "url": "https://cloud.langfuse.com/api/public/mcp"
    }
  }
}

Langfuse needs an API key. Langfuse's docs say which header carries it; most servers use Authorization: Bearer <YOUR_API_KEY>.

Devin Desktop

  1. Add it to ~/.config/devin/mcp_config.json (macOS and Linux) or %APPDATA%\devin\mcp_config.json (Windows):
mcp_config.json
{
  "mcpServers": {
    "langfuse": {
      "serverUrl": "https://cloud.langfuse.com/api/public/mcp"
    }
  }
}
  1. Refresh the MCP server list in Cascade.

Devin Desktop is the new name for Windsurf. It reads serverUrl (or url) for remote servers.

Codex

codex mcp add langfuse --url https://cloud.langfuse.com/api/public/mcp

Or edit ~/.codex/config.toml directly:

config.toml
[mcp_servers.langfuse]
url = "https://cloud.langfuse.com/api/public/mcp"

Langfuse needs an API key. Langfuse's docs say which header carries it; most servers use Authorization: Bearer <YOUR_API_KEY>.

Gemini CLI

gemini mcp add --transport http langfuse https://cloud.langfuse.com/api/public/mcp

This adds it to the current project. Add -s user to use it everywhere.

Any client

Most clients accept this shape. Some name the URL field differently: serverUrl in Devin Desktop, httpUrl in Gemini CLI's settings file.

{
  "mcpServers": {
    "langfuse": {
      "type": "http",
      "url": "https://cloud.langfuse.com/api/public/mcp"
    }
  }
}

Zed puts servers under context_servers in its settings. Cline needs "type": "streamableHttp", or it assumes SSE.

Client only starts local servers? Bridge it with npx -y mcp-remote https://cloud.langfuse.com/api/public/mcp.

Langfuse needs an API key. Langfuse's docs say which header carries it; most servers use Authorization: Bearer <YOUR_API_KEY>.

listing.faq

Can I paste mcp.tc/i/langfuse into my MCP client?

No. mcp.tc links are pages, not server addresses. Connect with https://cloud.langfuse.com/api/public/mcp, so your client talks to Langfuse directly. Your key goes there too, never to mcp.tc. The quick link is for sharing: it opens this page, with setup steps for every client.

Does Langfuse need an API key or a sign-in?

Yes. Langfuse needs an API key. Get one from Langfuse and keep it in your client's config, never in a shared file.

Is Langfuse a remote or a local server?

Remote. Langfuse hosts it at https://cloud.langfuse.com/api/public/mcp, and it speaks Streamable HTTP. There's nothing to install.

What can Langfuse do?

You can read and manage prompts stored in Langfuse, inspect observations from LLM application traces and work with datasets used for evaluation.

Which clients can use it?

Any client that supports remote MCP servers and can send your key: Claude Code, Cursor, VS Code, Devin Desktop, Codex, Gemini CLI, Zed and others, and Claude Desktop through the mcp-remote bridge. claude.ai and ChatGPT can't send a key, so they can't use it.

Who wrote this page?

mcp.tc's robot read Langfuse's own metadata (its MCP handshake, tool list and public pages), and an AI model drafted the text from it. A person reviews anything the checks can't confirm. The text can still be wrong, so if you spot a mistake, use Report this listing on this page.

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