Sentry MCP is a Model Context Protocol (MCP) server designed to streamline and optimize developer workflows, specifically focusing on debugging and human-in-the-loop coding agent use cases. Acting as a middleware for the Sentry API, it enables AI-powered search, inspection, and issue triage capabilities for coding assistants and IDE tools such as Cursor and Claude Code. Sentry MCP provides both remote and local (stdio) deployment options, supports integration with major LLM providers (OpenAI, Azure OpenAI, Anthropic, OpenRouter), and is configurable for Sentry SaaS or self-hosted Sentry instances.
Visit Sentry Mcp's official website for product details and getting started.
Comprehensive documentation for Sentry MCP, covering setup, configuration, and usage.
Insights and updates on Sentry features, including use cases and best practices for error monitoring and debugging.
A place to ask questions and share experiences with other Sentry users.
Comprehensive guides and API references for using Sentry MCP.