How to give an AI agent access to production and not go gray: safe production debugging through MCP

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Summary

The article explains how to safely give an AI agent access to production systems for debugging without exposing sensitive data or dangerous controls. It lays out a read-only Docker proxy setup, scoped MCP tools, role-based permissions, rate limits, and PII redaction to reduce operational risk. It also shows how to structure logs, request tracing, and user lookup workflows so teams can investigate issues faster. The piece ends with an admin playbook for diagnosing incidents with clear guardrails for developer and forensics use cases.

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