| name | Sentry MCP Server |
| slug | sentry-mcp-server |
| description | 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. |
| github_stars | 712 |
| verification | security_reviewed |
| source | https://github.com/getsentry/sentry-mcp |
| author | Sentry |
| publisher_type | company |
| category | Monitoring & Alerts |
| framework | MCP |
| tool_ecosystem | {"github_repo":"getsentry/sentry-mcp","github_stars":712,"npm_package":"@sentry/mcp-server","npm_weekly_downloads":69897} |
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:
Documentation
Source
