MCP connector for the Sentry error tracking and monitoring service, used to query production issues, error reports, traces, and performance data for debugging and root-cause analysis. It is used to look up a specific error's stack trace or frequency and follow through to a code fix.
Last 12 weeks · weekly buckets. New tools get more accurate as observation weeks add up.
Tools that are especially used together with this one. The higher the value, the better the fit.
sentry MCP is the MCP connector for Sentry, the error monitoring platform. Builders use it in debugging workflows to pull production issues, error reports, traces, and performance data for root-cause analysis.
Typical use is checking a specific error's stack trace or frequency, then carrying the fix through in related code. From an AI coding tool they can fetch issues, narrow the cause, and apply a patch in one flow.
Use this MCP when you want production errors tied directly into coding work instead of only reviewing them in a dashboard.
It is the MCP connector for Sentry, used to pull production issues, error reports, traces, and performance data for debugging.
Builders use it to inspect stack traces and error frequency, analyze root causes, and carry fixes into related code.
They fetch Sentry issues from an AI coding tool, narrow the root cause, and apply patches in the same workflow.
Yes. Beyond errors, it can pull traces and performance data for analysis.