MCP.Market

Langfuse API MCP server

by rodrigorjsf·io.github.rodrigorjsf/langfuse-api-mcp·v0.2.0
No reviews yet

Langfuse public API (Cloud and self-hosted): traces, prompts, datasets and gated writes.

B83/100grade B
Write a reviewInstall
What users say
No reviews yet
Be the first
Safety scan
B83/100

not scanned yet

Adoption
New

0 stars

Reviews

Write one

Nobody has reviewed Langfuse API yet.

If you have run it, two minutes of your experience saves the next person an afternoon.

Langfuse API tools

No tool declarations could be read from the package source. They show once the server is installed.

Not scanned yet. New listings are scanned within a day or two of arriving.

How Langfuse API compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
83/100
higher than 65% of 48,255 servers

Release history: 2 versions in the registry since 2026-09-30, latest 2026-10-15, typically one every 15 days.

Install Langfuse API in Claude Code, Cursor or VS Code

Runs npx -y langfuse-api-mcp on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add langfuse-api-mcp -- npx -y langfuse-api-mcp
Add to Cursor

What the publisher says

From the Langfuse API repository's README, as published. We do not edit it. Read it on GitHub

langfuse-api-mcp

An MCP server that gives AI agents access to the full Langfuse public API. It works with Langfuse Cloud in any region and with self-hosted instances. It is built to run on corporate networks that re-sign TLS traffic with their own certificate authority (CA).

[!IMPORTANT]

Status: pre-alpha, first release v0.1.0 (semver 0.x: no stability promise yet). Everything below works today unless it is marked Planned, like the loopback HTTP transport.

Contents: What it is · Tools · User skill · Install and run · Client configuration · Configuration · Security model · Troubleshooting · Learn more

What it is

A small, stateless program that your AI tool (Claude Code, Claude Desktop, Cursor, VS Code, Codex, …) starts on your machine. It speaks the Model Context Protocol to the agent and HTTPS to Langfuse. The agent can then:

  • investigate traces, observations, sessions, errors, latency and cost;
  • read prompts, datasets, experiments, scores, metrics, models, comments and annotation queues;
  • make changes, such as promoting a prompt label, creating a score or editing a dataset. This works only if you turn writes on (see Security model).
flowchart LR
  A[AI agent<br/>Claude Code, Cursor, …] -- MCP over stdio --> S[langfuse-mcp<br/>on your machine or in Docker]
  S -- HTTPS + your corporate CA --> P{{Corporate proxy<br/>optional}}
  P --> L[(Langfuse<br/>Cloud or self-hosted)]
  S -. reads .-> C[/Your config:<br/>keys, host, CA files/]
  classDef local fill:#e0f2fe,stroke:#0369a1,color:#0c4a6e;
  classDef remote fill:#fef3c7,stroke:#b45309,color:#78350f;
  class A,S,C local;
  class L,P remote;

When to use it

How it differs from the official Langfuse MCP

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Langfuse API: common questions

Is Langfuse API MCP server safe?
Mostly: it is graded B (83/100). Read the Langfuse API safety report
How do I install Langfuse API?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Langfuse API need an API key?
Yes. The registry entry asks for LANGFUSE_PUBLIC_KEY, LANGFUSE_SECRET_KEY.
Is Langfuse API maintained?
The last commit was 35 days ago (2026-09-30). The latest release is v0.2.0.