Enables AI models to query and analyze error reports and events from Sentry.
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.
Características Principales
01Retrieves and analyzes Sentry issues by ID or URL.
02Provides issue details including title, ID, status, level, and timestamps.
03Includes complete stack trace information.
04Formats issue details as conversation context using a prompt template.
Casos de Uso
01Integrate Sentry error tracking data into AI-powered debugging workflows.
02Enable AI models to provide more context-aware support by analyzing error reports.
03Automate error report analysis and prioritization using AI.
