Sentry

MCP Server Sentry provides a bridge between AI models and the Sentry error tracking service, allowing models to query and analyze error reports programmatically. Built with TypeScript, it offers tools for retrieving detailed issue information including stack traces, event counts, and timestamps through a clean API interface. The implementation handles URL parsing to extract organization and project information, making it ideal for developers seeking to incorporate error analysis capabilities into AI-assisted debugging workflows or automated error triage systems.