TypeScript MCP server providing 27 read tools for Langfuse Public API, enabling access to traces, observations, sessions, scores, prompts, datasets, and metrics for LLM application monitoring.
hugoles/langfuse-mcp is a Model Context Protocol (MCP) server that integrates with the Langfuse platform, providing comprehensive access to observability and monitoring data for large language model (LLM) applications. It exposes 27 read-only tools covering traces, observations, sessions, scores, score configurations, prompts (with version and label support), datasets, dataset items, dataset runs, metrics, models, projects, comments, media, and health checks.
The tool is distributed as an npm package and can be installed via npx. Users need to configure their Langfuse API credentials and then instantiate the MCP server. The package is written in TypeScript and can be integrated into any MCP-compatible client application such as Claude, ChatGPT, or AI Studio.
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