Captures user intentions and behavior patterns for MCP server analytics, eliminating guesswork and accelerating product development.
MCPcat is a comprehensive analytics platform designed for MCP server owners. It enables developers and product owners to effortlessly capture user intentions and behavior patterns, providing crucial insights into what AI users truly need from their tools. By eliminating guesswork and accelerating product development, MCPcat helps you build, improve, and monitor your MCP servers effectively. It offers robust capabilities for understanding user engagement and debugging interactions, all with a simple one-line code integration.
Key Features
01Trace debugging to identify stuck points and LLM confusion
02User session replay to understand user journeys
03Redact sensitive information for enhanced data security
044 GitHub stars
05Free access for qualified open source projects
06Identify user sessions with custom user data
Use Cases
01Understand why users are interacting with your MCP servers and identify missing functionality
02Track and debug sessions across all deployments to pinpoint issues with LLMs and APIs
03Monitor and improve the performance and user experience of your MCP servers
