log-logn/langfuse-mcp-java
🔌 MCP ServerLog-LogN
A Java-based MCP server for seamless integration and observability of Langfuse traces within LLM applications.
The langfuse-mcp-java project is a specialized implementation of the Model Context Protocol (MCP) designed to expose Langfuse's powerful observability features to AI agents. Built in Java, this server acts as a bridge, allowing LLMs to perform complex operations such as fetching trace data, inspecting specific observations, analyzing user sessions, and retrieving dataset information. It also supports prompt management, enabling agents to dynamically interact with the Langfuse prompt registry. This integration is particularly valuable for developers building autonomous agents that need to self-debug or perform root-cause analysis on LLM interactions. By exposing Langfuse's API through the standardized MCP interface, it ensures that any MCP-compatible client can gain deep insights into LLM execution paths, latency, and cost metrics without leaving the agent's context window. The server is designed for reliability and ease of deployment, making it a critical component for production-grade observability in agentic architectures.
💡Highlights
- ├─Full Langfuse API integration
- ├─Real-time trace and score analysis
- └─Native MCP protocol support
🎯For
- ├─AI Engineers
- └─Backend Developers