avivsinai/langfuse-mcp

Overview

An MCP server that lets AI agents query Langfuse trace data. It provides a standardized interface for agents to access observability information, aiding in debugging and performance analysis.

Best for

Best for
Developers using Langfuse who want to give their AI agents direct access to trace data for debugging

Use cases

• Debugging AI agent behavior by querying Langfuse traces
• Integrating Langfuse observability with MCP-compatible agent frameworks
• Automating trace analysis through agent-driven requests

How to use

Install

npx skills add avivsinai/langfuse-mcp -g -y

Tools exposed

• LANGFUSE_MAX_AGE_DAYS
• LANGFUSE_MCP_TRACE_TIMEOUT_SECONDS

Tested with

Claude Code, Cursor

Notes

An MCP server that lets AI agents query Langfuse trace data. It provides a standardized interface for agents to access observability information, aiding in debugging and performance analysis.

92 stars on GitHub. Last updated 2026-05-30. Licensed MIT.

Use cases

• Debugging AI agent behavior by querying Langfuse traces
• Integrating Langfuse observability with MCP-compatible agent frameworks
• Automating trace analysis through agent-driven requests

Pros

• Lightweight Python implementation with clear MCP protocol adherence
• Directly extends Langfuse’s observability to AI agents without custom tooling
• Open source and easy to customize or extend

Cons

• Requires a running Langfuse instance and API access
• Limited to Langfuse trace data only, not a general observability bridge
• Relatively low adoption (92 stars) may indicate fewer community contributions

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.