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Sentry Integration

CreatedZzzccs123

Enables AI models to query and analyze error reports and events from Sentry.

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About

The Sentry Integration provides a Model Context Protocol (MCP) server, implemented in TypeScript, for connecting to Sentry. It allows AI models to query and analyze error reports and events, providing access to detailed issue information including stack traces, status, and timestamps, which can be used to provide more informed and contextual responses.

Key Features

  • Retrieves and analyzes Sentry issues by ID or URL.
  • Provides issue details including title, ID, status, level, and timestamps.
  • Includes complete stack trace information.
  • Formats issue details as conversation context using a prompt template.

Use Cases

  • Integrate Sentry error tracking data into AI-powered debugging workflows.
  • Enable AI models to provide more context-aware support by analyzing error reports.
  • Automate error report analysis and prioritization using AI.