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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.
| 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) |
Works with Claude (desktop and mobile), Cursor, Windsurf, VS Code, and any MCP-compatible AI app.
Category: Developer Tools
Don't lose this
Three weeks from now, you'll want log-logn/langfuse-mcp-java again. Will you remember where to find it?
Save it to your library and the next time you need log-logn/langfuse-mcp-java, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. log-logn/langfuse-mcp-java. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
What's New
Imported from awesome:punkpeye/awesome-mcp-servers
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