To debug production errors with AI, the Sentry MCP server pulls real issues, stack traces, and release context into the session, so the agent fixes against the actual signal instead of a paraphrase. Combine it with a coding agent that can reproduce the error and run your tests to confirm the fix before you ship it.
Sentry MCP server + your coding agent.
Curated by Joaquin FuentesLast updated: June 14, 2026
Pull issues and traces into the loop while you fix them.
Sentry's MCP server surfaces error issues, stack traces, and release context to the agent so a fix can be written and verified against the real production signal.
When to use Pull a Sentry issue into the session when you're chasing a production bug — the agent fixes against the real stack trace instead of a paraphrase of it.
With the Sentry MCP server an agent works from the real stack trace and release context, which makes its fixes far more accurate than guessing from a description.
Have the agent reproduce the error, apply the fix, and run your test suite — then watch the issue in Sentry stop recurring after the release deploys.