Sentry MCP is a Model Context Protocol (MCP) server that integrates Sentry's monitoring and error tracking API with large language models (LLMs), enabling natural language interaction with production and debugging data. It is designed for developers and teams who want to enhance AI agents or copilots in environments like Cursor, Claude Code, VSCode, and other developer tools to query, analyze, and resolve production errors more efficiently using conversational AI capabilities.
Visit Sentry's official website for product details and getting started.