A Model Context Protocol (MCP) server for Langfuse, enabling AI agents to query Langfuse trace data for enhanced debugging and observability
Overview
What is Langfuse MCP?
Langfuse MCP (Model Context Protocol) is a server that enables AI agents to query Langfuse trace data, enhancing debugging and observability for applications.
How to use Langfuse MCP?
To use Langfuse MCP, install it via Cursor IDE or GitHub, configure it with your Langfuse credentials, and run the server using the provided commands.
Key features of Langfuse MCP?
- Integration with Langfuse for trace and observation data
- Tools for AI agents to query trace data
- Exception and error tracking capabilities
- Session and user activity monitoring
Use cases of Langfuse MCP?
- Debugging AI applications by analyzing trace data.
- Monitoring user sessions and activities for insights.
- Tracking exceptions and errors in real-time.
FAQ from Langfuse MCP?
- What programming language is Langfuse MCP written in?
Langfuse MCP is written in Python.
- Is there a license for Langfuse MCP?
Yes, it is licensed under the MIT License.
- How can I contribute to Langfuse MCP?
Contributions are welcome! You can submit a Pull Request on GitHub.