{"id":"sentry-mcp","name":"Sentry MCP","homepage":"https://github.com/getsentry/sentry-mcp","repo_url":"https://github.com/getsentry/sentry-mcp","category":"observability","subcategories":["error-tracking","debugging","monitoring"],"tags":["sentry","mcp","error-tracking","observability","debugging","typescript","oauth","claude-code"],"what_it_does":"An official MCP server from Sentry that connects AI coding assistants to Sentry error tracking, enabling natural language queries over issues, events, traces, and performance data for AI-assisted debugging workflows.","use_cases":["Investigate production errors and stack traces directly within Claude Code or Cursor without switching to the Sentry UI","Use natural language to search Sentry issues converted automatically to Sentry query syntax","Automate error triage by giving AI agents access to issue history, event counts, and performance traces","Integrate Sentry error context into AI-driven code review and debugging sessions","Deploy as a remote HTTP MCP server for team-wide AI-to-Sentry integration with OAuth authentication"],"not_for":["Teams not using Sentry for error monitoring — no cross-platform observability support","Scenarios requiring write access beyond creating issues/comments (e.g., modifying alert rules)","Self-hosted Sentry instances that have not enabled the Seer AI feature if AI search is needed"],"best_when":"Your team uses Sentry and wants AI assistants to have direct, read-capable access to error data during debugging sessions, reducing context-switching between IDE and Sentry dashboard.","avoid_when":"You use a different error tracking platform (Datadog, Rollbar, Bugsnag) or need a generic observability MCP that spans multiple backends.","alternatives":["Datadog MCP","custom Sentry API integration","sentry-cli"],"af_score":72.2,"security_score":75.0,"reliability_score":null,"package_type":"mcp_server","discovery_source":["github","github_awesome","npm"],"priority":"low","status":"evaluated","version_evaluated":"latest","last_evaluated":"2026-03-01T09:50:06.182387+00:00","performance":{"latency_p50_ms":null,"latency_p99_ms":null,"uptime_sla_percent":null,"rate_limits":null,"data_source":"llm_estimated","measured_on":null}}