langfuse-mcp

🥈Silver

Langfuse MCP server enables AI agents to query Langfuse trace data for enhanced debugging and observability. Operations teams benefit from improved AI agent performance monitoring and troubleshooting. Integrates with Langfuse for trace data analysis and supports Claude agents.

45140Updated 2w ago

Intermediate30min to implementautomation

Saves ~120 min per use

Quick InstallView Source

git clone https://github.com/avivsinai/langfuse-mcp.git

Works with:

Claude

Overview

About This Skill

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/avivsinai/langfuse-mcp

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

I'm an operations team member using Langfuse MCP server to debug a [AI_AGENT_NAME] in the [INDUSTRY] sector. I need to query trace data for [SPECIFIC_ISSUE] that occurred on [DATE]. Provide a step-by-step analysis of the trace data and suggest potential fixes.

Example Output

# Trace Data Analysis for [AI_AGENT_NAME]

## Issue Summary
- **Date**: 2023-11-15
- **Agent**: [AI_AGENT_NAME]
- **Error Type**: API Timeout

## Root Cause
The trace data indicates that the agent experienced a timeout while querying the [EXTERNAL_API] due to:
- High latency in the API response
- Insufficient retry logic in the agent's code

## Recommended Fixes
1. **Implement Retry Logic**: Add exponential backoff retry logic to handle temporary API unavailability.
2. **Optimize API Calls**: Reduce the number of API calls by caching responses where possible.
3. **Monitor API Performance**: Set up alerts for API latency thresholds to proactively address performance issues.