Sentry

This Sentry MCP server, developed by Anthropic, enables AI assistants to retrieve and analyze error reports from Sentry.io. It integrates with the Sentry API to provide detailed issue information including stacktraces, timestamps, and event counts. Built in Python, the implementation handles API authentication and request formatting, exposing Sentry's error tracking capabilities via a standardized MCP interface. By bridging AI models and application monitoring data, this server allows AI systems to inspect and analyze software errors, providing insights into bug patterns and potential fixes. It is particularly useful for AI assistants supporting software development teams in triaging issues, understanding error contexts, and prioritizing debugging efforts based on real-time application performance data.