Sentry MCP Server

Official

Sentry error tracking and performance monitoring.

TypeScript 42,000 2940MIT
View on GitHub

Overview

This MCP server integrates Sentry's comprehensive error tracking and performance monitoring capabilities directly into development workflows. Built by Anthropic in TypeScript, it provides developers with seamless access to real-time issue data, performance metrics, and error insights without leaving their integrated development environment. The server bridges the gap between development tools and Sentry's powerful observability platform, enabling teams to monitor application health and respond to errors with greater efficiency and context awareness.

The server supports core Sentry functionality including issue tracking, error grouping, performance metrics analysis, and release monitoring. Developers can query recent errors, retrieve detailed stack traces, analyze performance bottlenecks, and track error trends across different environments and releases. The implementation leverages Sentry's API to provide actionable insights about application stability, user impact, and performance degradation patterns that inform debugging and optimization efforts.

Compatible with any MCP client, this server is particularly valuable for developers integrating error monitoring into their development environments and DevOps teams managing application reliability. Typical use cases include investigating production errors during development sessions, correlating error data with code changes, monitoring performance impacts of recent deployments, and maintaining visibility into application health across staging and production environments. Organizations using Sentry for error tracking and performance monitoring can extend their monitoring capabilities into their existing development workflows through this MCP integration.

Installation

npx -y @modelcontextprotocol/server-sentry

Compatible Clients

Claude DesktopCursor

Related

FAQ

How do I install the Sentry MCP server?
Install via npx or pip depending on the language. Then add the server configuration to your MCP client settings file.
Which AI clients support the Sentry MCP server?
The Sentry MCP server is compatible with Claude Desktop, Cursor. Any MCP-compatible client should work.