Provider hosted
Tools: 4

Langfuse: Open Source Agent Evals & Observability

Langfuse: Open Source Agent Evals & Observability

Trace, evaluate, and improve AI agents with one open platform. Use production data to understand behavior, collaborate on fixes, and ship better quality at lower cost and latency.

https://langfuse.com

Use in your AI tool

Connect straight to this server’s public endpoint.

Remote MCP URL
https://langfuse.com/api/mcp

Use on MCPBundles

We add this server to your workspace, walk through sign-in once, then open Studio with tools ready to run.

Last probed Sep 14, 2026 · langfuse.com

4tools discovered

Tools discovered (4)

  • Submit Feedback

    Submit explicit user-approved feedback to the Langfuse team. Before calling, ask permission and show the exact payload. If the user wants a reply, ask them to include their email address in the feedback text; only use an address they explicitly provide and show it in the exact payload preview. Do not include secrets, credentials, customer/project data, trace payloads, or unrelated context; the only contact detail to include is an explicitly provided reply email.

  • Search Langfuse Docs

    Semantic search (RAG) over the Langfuse documentation. Use this whenever the user asks a broader question that cannot be answered by a specific single page. Returns a concise answer synthesized from relevant docs. The raw provider response is included in _meta. Prefer this before guessing. If a specific page is needed call getLangfuseDocsPage first.

  • Get Langfuse Docs Page

    Fetch the raw Markdown for a single Langfuse docs page. Accepts a docs path (e.g., /docs/observability/overview) or a full https://langfuse.com URL. Returns the exact Markdown (may include front matter). Use when you need a specific page content (Integration, Features, API, etc.) or code samples. Prefer searchLangfuseDocs for broader questions where there is not one specific page about it. Changelog pages (/changelog/...) are historical release notes: use them only to confirm that a feature exis

  • Get Langfuse Overview

    Get a high-level, machine-readable index by downloading https://langfuse.com/llms.txt. Use this at the start of a session when needed to discover key docs endpoints or to seed follow-up calls to searchLangfuseDocs or getLangfuseDocsPage. Returns the plain text contents of llms.txt. Avoid repeated calls within the same session.

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Frequently Asked Questions

What is the Langfuse: Open Source Agent Evals & Observability MCP server?

Trace, evaluate, and improve AI agents with one open platform. Use production data to understand behavior, collaborate on fixes, and ship better quality at lower cost and latency.

How do I connect Langfuse: Open Source Agent Evals & Observability to my AI agent?

Use the MCP endpoint listed on this page in your MCP client configuration. One-click install pills support Claude, Cursor, VS Code, and other hosts. Copy the remote MCP URL if your client needs a manual entry.

How many tools does Langfuse: Open Source Agent Evals & Observability provide?

MCPBundles probed 4 tools on the live server. The tool list on this page reflects what was discovered at the last refresh — connect your client to see the full set available to your session.

What authentication does Langfuse: Open Source Agent Evals & Observability require?

Langfuse: Open Source Agent Evals & Observability may require signing in to the provider before tools can run. Connect through MCPBundles or your MCP client and complete any provider login when prompted.

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