Sentry

Connects AI to Sentry error tracking platform for retrieving and analyzing application errors, including stacktraces, error types, and occurrence statistics without context switching.

Sentry-MCP-Server provides a bridge between AI assistants and Sentry error tracking platform, enabling retrieval and analysis of application errors through a standardized interface. The server exposes tools for fetching detailed issue information including stacktraces, error types, and occurrence statistics from Sentry projects. Built with TypeScript and the MCP framework, it authenticates with Sentry via API tokens, handles URL parsing for convenient issue referencing, and formats error data in a structured way. This implementation is particularly valuable for developers who need to investigate application crashes, monitor error trends, or troubleshoot production issues directly through conversational AI without context switching.