# Catherineh0509/langfuse-mcp

> An MCP server that connects AI agents to Langfuse, letting them query trace data for debugging and observability.

- Magnitude: 0.0 out of 10 — Quiet
- Stars: 0 total · Not enough measurements today
- Star trust: star growth looks organic
- Category: AI agents · Language: Python · Created: 2026-10-14 · Last push: 2026-10-14
- GitHub: https://github.com/Catherineh0509/langfuse-mcp · Homepage: https://github.com/avivsinai/langfuse-mcp · Page: https://gitnova.dev/en/r/Catherineh0509/langfuse-mcp

## Useful for

- Query Langfuse traces from an AI agent to debug a failing LLM call.
- Inspect agent runs and their spans directly inside Claude Code or Codex.

## Why it’s here

- There are not enough fresh counter measurements for today's UTC day. The gain is unknown.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 0
- Issues and pull requests: 0
- Watchers: 0
- Average over the last week: 0 per day
- Usual pace: 0 per day
- Latest release: v1.5.759 (2026-10-14)

## Stars per day, last 20 days (oldest → newest, today is partial)

2026-10-14 … 2026-11-02: 0, 0, 0, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None

## Magnitude by day, last 14 days

10-20 0.0, 10-21 0.0, 10-22 0.0, 10-23 0.0, 10-24 0.0, 10-25 0.0, 10-26 0.0, 10-27 0.0, 10-28 0.0, 10-29 0.0, 10-30 0.0, 10-31 0.0, 11-01 0.0, 11-02 0.0

## Similar by description

1. **JaeminRay/mcp-server-langfuse** — 0.0 · Quiet · TypeScript · Not enough measurements today
   Model Context Protocol (MCP) Server for Langfuse Prompt Management. This server allows you to access and manage your Langfuse prompts through the Model Context Protocol.
   Full card: https://gitnova.dev/en/r/JaeminRay/mcp-server-langfuse.md

---

Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-11-02 02:24 UTC, updated every 30 minutes.