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Langfuse MCP server

by pulsemcp.com·com.pulsemcp/langfuse·v0.1.3·80 stars
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MCP server for Langfuse LLM observability — trace and observation analysis.

A85/100grade A
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Safety scan
A85/100

full report

Adoption
Growing

80 stars

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

Langfuse tools

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

Public scan report

scanner v0.1.9 · 2026-09-26 · same rubric, same numbers if you re-run it

no findings
  • Code scan37 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 27 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10
Overall 85/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Langfuse compares

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

Safety score
85/100
higher than 73% of 4,460 AI and agents servers
GitHub stars
80
more than 93% of 2,711 AI and agents servers

Install Langfuse in Claude Code, Cursor or VS Code

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

claude mcp add langfuse -- npx -y langfuse-observability-mcp-server
Add to Cursor

What the publisher says

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

PulseMCP's MCP Servers

We build reliable servers thoughtfully designed for MCP Client-powered workflows.

Design principles

You can have confidence that any Pulse-branded MCP server was built with these north stars in mind:

  1. Purpose-built. LLM-powered MCP clients offer uniquely new user interaction patterns that necessitate a different layer of abstraction than the REST API's from a pre-AI era. We thoughtfully scope drawing lines like building a new server, versus incorporating a new feature in another server. Or deciding where one slew of REST API endpoints might be better packaged as a single Tool call. And more.
  2. Easy set up. Many MCP servers die before ever getting a chance to be used. We offer guides and a frustration-free experience to get going with our MCP servers inside your favorite MCP clients.
  3. Time savings. By minimizing the number of tool chain steps or conversational turns you need to accomplish a task, our MCP servers will save you (and your agents) time waiting for a task to be completed.
  4. Inference cost savings. By minimizing the number of tokens you need to consume to a accomplish a task, our MCP servers will save you on your LLM inference bills.
  5. Reliability. You should have confidence that you can deploy our servers in a production application serving mass market consumers or business clients.
  6. Future-proof. We sit on the bleeding edge of the MCP specification, working to push the ecosystem forward. As such, you can be sure that if you commit to baking our server into your workflow, it will self-improve over time to take advantage of the latest and greatest MCP features.

Servers Available

Productionized Servers

These are PulseMCP-branded servers that we intend to maintain indefinitely as our own offerings.

The MCP Registry column controls whether the server is published to the official MCP Registry (com.pulsemcp/) by the publish-mcp-registry.yml workflow.

Shortened. The full README is on GitHub.

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

Langfuse: common questions

Is Langfuse MCP server safe?
Yes, by our scan: it is graded A (85/100). Read the Langfuse safety report
How do I install Langfuse?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Langfuse need an API key?
Yes. The registry entry asks for LANGFUSE_SECRET_KEY, LANGFUSE_PUBLIC_KEY.
Is Langfuse maintained?
The last commit was 66 days ago (2026-08-30). The latest release is v0.1.3.
What can I use instead of Langfuse?
Servers from other publishers that do the same job: MCP Server for WinDbg Crash Analysis, Stata MCP server and Superlog MCP server.
How does Langfuse compare with other AI and agents MCP servers?
safety score 85/100 (higher than 73% of 4,460 AI and agents servers); github stars 80 (more than 93% of 2,711 AI and agents servers). Full comparison.

Alternatives to Langfuse

Same job from other publishers: the closest match first, then the best rated.

  • MCP Server for WinDbg Crash Analysis
    A Model Context Protocol server for Windows crash dump analysis using WinDbg/CDB
    A
  • Stata
    Let LLM help you achieve your regression analysis with Stata
    C
  • Superlog
    Open-source agent that observes and fixes your application. Query logs, traces, metrics, incidents.
    A
  • Depwire
    Dependency graph + 24 MCP tools. Impact analysis, simulation, security, agent coordination
    B

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