by avivsinai · MCP Server · ★ 85
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Langfuse MCP Server Model Context Protocol server for Langfuse observability. Query traces, debug errors, analyze sessions, manage prompts. Why langfuse-mcp? Comparison with official Langfuse MCP (as of Jan 2026): This project provides a full observability toolkit — traces, observations, sessions, exceptions, and prompts — while the official MCP focuses on prompt management. Quick Start Requires uv (for ). Get credentials from Langfuse Cloud → Settings → API Keys. If self-hosted, use your instance URL for . bash Claude Code (project-scoped, shared via .mcp.json) claude mcp add \ -e LANGFUSEPUBLICKEY=pk-... \ -e LANGFUSESECRETKEY=sk-
| Stars | 85 |
| Forks | 22 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 60.588/100 |
| Open Issues | 1 |
| Last Updated | 2026-05-06 |
| Created | 2025-03-21 |
| Platforms | claude-code, codex, mcp, python |
| Est. Tokens | ~34k |
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langfuse-mcp is A Model Context Protocol (MCP) server for Langfuse, enabling AI agents to query Langfuse trace data for enhanced debugging and observability. It is categorized as a MCP Server with 85 GitHub stars.
langfuse-mcp is primarily written in Python. It covers topics such as agent-skills, ai-agents, claude-code.
You can find installation instructions and usage details in the langfuse-mcp GitHub repository at github.com/avivsinai/langfuse-mcp. The project has 85 stars and 22 forks, indicating an active community.
langfuse-mcp is released under the MIT license, making it free to use and modify according to the license terms.
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