Langfuse MCP Server — Java / Spring AI
A production-grade MCP server that connects any MCP-compatible AI agent to your Langfuse observability data.
Query traces, debug errors, inspect sessions, manage prompts, run evaluations, annotate data, and configure models — all through natural language.
Transport: Streamable HTTP on port 8080, compatible with Cursor, Claude Desktop, VS Code / GitHub Copilot, and any MCP client that supports HTTP transport.
Why this server?
| Capability | This server | Official Langfuse MCP |
|---|---|---|
| Traces & Observations | ✅ | ❌ |
| Sessions & Users | ✅ | ❌ |
| Exception tracking | ✅ | ❌ |
| Prompt management (read + write) | ✅ | ✅ read-only |
| Dataset & run management | ✅ | ❌ |
| Scores & score configs | ✅ | ❌ |
| Annotation queues | ✅ | ❌ |
| Comments | ✅ | ❌ |
| Model definitions | ✅ | ❌ |
| LLM connections | ✅ | ❌ |
| Project introspection | ✅ | ❌ |
| Schema introspection | ✅ | ❌ |
| Java / Spring AI | ✅ | ❌ (Python) |
Prerequisites
- Java 21 or later
- Maven 3.9+ (or use the Docker build — no local Maven required)
- A Langfuse account with an API key pair (
public-key+secret-key)
