Case study 04 of 15
MCP Became a Governance Challenge
Teams wanted agents and AI coding tools to reach enterprise context through MCP-style integrations.
Business challenge
The business value was obvious. The security model wasn't — trust, access, logging, and tool-level permissions all needed answers before rollout.
Architecture approach
Registries, gateways, allowlists, and enforcement layers were evaluated as ways to give agents controlled access to real tools.
How the work moved from request to production
- Business need
- Intake & risk classification
- Select reusable pattern
- Build / configure
- Review & validate
- Deploy / enable
- Monitor usage, risk, cost, value
Governance considerations
Approval workflows, trusted server lists, prohibited tools, auditability, and periodic review turned MCP access from an open door into a managed one.
Results
The conversation matured from "enable this" to governed integration infrastructure with a real owner.
Lesson learned
MCP shouldn't be treated as a convenience setting. It should be treated like API infrastructure for agents.
Discussion questions
- Who approves MCP servers?
- Should approval happen at the server level or the tool level?
- How should usage actually be audited?