An MCP server for interacting with Sentry via LLMs.
Sentry MCP is a Model Context Protocol server that exposes Sentry's error tracking and performance monitoring capabilities to AI assistants through 19 tools. Built with TypeScript, the project comprises multiple packages including a core MCP implementation, stdio transport, Cloudflare web app with OAuth support, and test infrastructure. The server employs a skills-based authorization system that maps user-friendly capabilities to technical API permissions, with skills like inspect, seer, triage, and project-management controlling access to different tool subsets. AI-powered search tools can leverage configured LLM providers such as OpenAI or OpenRouter to translate natural language queries into Sentry's query syntax, and the project emphasizes type safety, security practices, and comprehensive testing with strict quality gates requiring TypeScript compilation, linting, and test passage before commits.