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langfuse

langfuse is an MCP server for Claude Code, Codex, Cursor, Gemini CLI, OpenCode from hugoles/langfuse-mcp. Its token cost is not measured, scanned A, original, MIT.

A local MCP server that exposes Langfuse’s REST API, a service for recording and analysing AI application activity, as tools.

In plain words
What is it for?
It helps inspect traces, observations, sessions, scores, prompts, datasets and metrics, using the required Langfuse connection settings.
Why use it?
It lets an MCP client query Langfuse data without writing a separate API integration.

MCP server for Claude CodeCodexCursorGemini CLIOpenCode

Written for no agent in particular: it speaks MCP, so any client can run it. Also seen: listed in a Claude config.

not rated 1repo 2mo ago A scan tokens not measured original MIT

Good fit It helps inspect traces, observations, sessions, scores, prompts, datasets and metrics, using…

Compare 6 mcp servers from other repositories ↓
Install with agentmods
npx agentmods add mcp/hugoles/langfuse-mcp/langfuse
View source ↗ hugoles/langfuse-mcp
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/hugoles/langfuse-mcp

Made for: Claude Code, Codex, Cursor, Gemini CLI, OpenCode.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for langfuse

README.md
[![agentmods](https://agentmods.dev/badge/mcp/hugoles/langfuse-mcp/langfuse.svg)](https://agentmods.dev/mcp/hugoles/langfuse-mcp/langfuse)
Your own site
<a href="https://agentmods.dev/mcp/hugoles/langfuse-mcp/langfuse"><img src="https://agentmods.dev/badge/mcp/hugoles/langfuse-mcp/langfuse.svg" alt="Measured on agentmods" height="20"></a>
Per session not measured What this adds to a session before it is invoked.
When invoked not measured Not applicable: nothing here is loaded into a session.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Security

Grade A, and why

langfuse scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

examples/claude_desktop_config.json · 14 lines

What it actually says

{
  "langfuse": {
    "command": "npx",
    "args": [
      "-y",
      "langfuse-mcp"
    ],
    "env": {
      "LANGFUSE_PUBLIC_KEY": "pk-lf-...",
      "LANGFUSE_SECRET_KEY": "sk-lf-...",
      "LANGFUSE_BASE_URL": "https://cloud.langfuse.com"
    }
  }
}
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 14 lines scan A 9577f6321c23

Subscribe to this mod's changes

langfuse is an MCP server published in the GitHub repository hugoles/langfuse-mcp (1 stars, last pushed 2mo ago), licensed MIT. Its token cost is not measured: an MCP server costs its tool schemas, not its config file. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Analytics and metricsData and AIanthropicclaudelangfusellm-observabilitymcpmcp-server
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