Sentry MCP Server

Sentry's official MCP server connects your error monitoring stack to any MCP client. Search issues, analyze stack traces, investigate performance bottlenecks, and get AI-powered root cause analysis — all without leaving your editor or agent session.

Prerequisites

MCP-compatible client (Claude Code, Cursor, VS Code), Sentry account with active projects, Node.js (for stdio mode)

Installation

Use the upstream install or setup path that matches your environment:

• npx @sentry/mcp-server@latest --access-token=sentry-user-token
• npx @sentry/mcp-server@latest --access-token=TOKEN --host=sentry.example.com --disable-skills=seer
• npx @sentry/mcp-server@latest --access-token=TOKEN --host=sentry.internal:9000 --insecure-http
• pnpm inspector

Requirements and caveats from upstream:

• Note: The AI-powered search tools (search_events, search_issues, etc.) require an LLM provider (OpenAI or Anthropic). These tools use natural language processing to translate queries into Sentry's query syntax. Wi...
• Evaluations require a .env file in the project root with some config:

Basic usage or getting-started notes:

• You'll find everything you need to know by visiting the deployed service in production:

• https://mcp.sentry.dev

• If you're looking to contribute, learn how it works, or to run this for self-hosted Sentry, continue below.

• Source: https://github.com/getsentry/sentry-mcp

• Extracted from upstream docs: https://raw.githubusercontent.com/getsentry/sentry-mcp/HEAD/README.md

Documentation

• https://docs.sentry.io/product/sentry-mcp/

Source

• Agent Skill Exchange