TL;DR

Langfuse is a AI & ML MCP server that lets Claude Code, Cursor, Windsurf and any MCP-compatible AI agent open-source LLM observability. Install in 1 minute with mcpizy install langfuse.

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Langfuse

AI & ML

Last updated September 4, 2026 ยท By MCPizy team

Open-source LLM observability. Collaborative prompt editing, tracing, and evaluation.

D

Repo audit: 57/100 โ€” showing real gaps โ€” check it still fits your needs

Scored on licence, adoption, maintenance and documentation of langfuse/mcp-server-langfuse. We show the grade whether it flatters the server or not.

no commit for 18 months ยท 173 stars ยท MIT licence ยท 13 open issues

Read the full audit on CheckMCP

Install Langfuse

Via MCPizy CLI (recommended):
mcpizy install langfuse
Or run directly:

We could not verify a published package or a reachable endpoint for this server, so we are not showing an install command that would fail. Checked 2026-08-11. Follow the repository's own instructions instead.

View on GitHub

Works with

Claude Code
Claude Desktop
Cursor
Windsurf
VS Code + Copilot
Any MCP Client

Frequently asked questions

What is the Langfuse MCP server?

Langfuse is listed as an AI & ML Model Context Protocol server whose documented purpose is to let an MCP-compatible agent open-source LLM observability. Client support, permissions and authentication remain specific to the upstream project.

How do I install Langfuse MCP with Claude Code?

The fastest way is the MCPizy CLI: run `mcpizy install langfuse` and MCPizy will add the server to your `.claude.json` automatically. You can also install it manually by adding an entry under `mcpServers` in `.claude.json` with the command `` and restarting Claude Code.

Does MCPizy charge to view or install Langfuse MCP?

No. Reading this profile and copying its install guidance is free. Upstream software, API, account or usage costs are separate, and licence coverage should be checked from the linked source when available.

Does Langfuse MCP work with Cursor and Windsurf?

The MCP standard is supported by those clients, but a specific server can still have client-specific setup or transport limits. Use the configuration shown on this page when present and verify the upstream instructions before installation.

What can I do with Langfuse MCP?

Its documented purpose is to let an MCP-compatible agent open-source LLM observability. The exact tools, permissions and write capabilities depend on the server version and configuration shown by the upstream project.

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