Sentry MCP Server
The Sentry MCP Server connects your AI to Sentry — query recent errors, inspect an issue's stack trace, analyze error trends — all in natural language.
For example, "what new errors appeared in the last 24 hours and which affects the most users" — the AI uses this server to pull Sentry data and attribute the cause.
What it does for you
Connects your AI to Sentry — pull production errors, read stack traces, and pinpoint which release introduced a bug, right in chat.
Capabilities
- Query errors and issues
- Read stack traces and frequency
- Correlate with releases / commits
Once installed, try asking your AI
Say this directly in Claude / Cursor or any client with this server connected
- ›“What are the top 3 most frequent errors in the last 24 hours?”
- ›“Which release did this error start appearing in?”
Install / Connect
claude mcp add mcp-server -- npx -y @sentry/mcp-serverFollow the official README; env and args vary per server.
Why use it
Good for: developers and SREs who want AI to speed up production-error investigation and root-cause analysis.
Built by Sentry officially, so reliability is backed; its measured health data on this site is shown below.
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Frequently Asked Questions
What permissions does it need?
A Sentry auth token, scoped to the projects you want it to access.
Can it fix bugs automatically?
It brings error context to the AI; code fixes still need your codebase and judgment — don't apply blindly.