Sentry MCP
Monitor application errors with AI via MCP. Track Sentry issues, analyze stack traces, manage releases, and debug production errors.
What is Sentry MCP?
Sentry MCP integrates Sentry's error monitoring platform with AI through MCP. Sentry provides real-time error tracking, performance monitoring, and release health for applications across every major platform and language.
Error Intelligence
AI models can analyze error patterns, investigate stack traces with source context, correlate errors with releases, and help prioritize fixes based on user impact and error frequency.
Configuration
{"mcpServers":{"sentry":{"command":"npx","args":["sentry-mcp"],"env":{"SENTRY_AUTH_TOKEN":"your_auth_token","SENTRY_ORG":"your_org"}}}}Use Cases
Sentry MCP serves development teams debugging production errors, release managers tracking deployment health, and organizations needing AI-powered error analysis and prioritization.
Key Features
- Monitor error rates and new issues
- Analyze stack traces and breadcrumbs
- Track release health and adoption
- Manage issue assignment and triage
- Query performance transactions
- Monitor user impact and session data
Similar MCP Servers
View all →
Everything Claude Code
The agent harness performance optimization system.
Mcp For Beginners
This open-source curriculum introduces the fundamentals of MCP.
DesktopCommanderMCP
MCP server for Claude with terminal control and file search.
Docker Hub MCP
Official MCP server to interact with Docker Hub.