What is MCP Governance?
MCP governance is the organisation-level control of MCP usage: maintaining an inventory of approved servers, running approval workflows for new ones, enforcing policy on tool calls, and keeping an audit trail of agent activity.
WHY IT MATTERS
Individual developers adopt MCP servers the way they adopt npm packages — quickly, locally, and without telling anyone. Once a team has more than a handful of people running AI clients, the organisation has an MCP estate whether it governs it or not. Governance is the work of making that estate visible and controlled.
The core functions are:
- Inventory — knowing which servers are in use, by whom, and with what credentials. Ungoverned servers running outside this inventory are shadow MCP.
- Approval workflows — a defined path for requesting a new server: security review, risk classification, and sign-off before it reaches developer machines.
- Policy enforcement — runtime rules over which tools each person or agent may call, ideally expressed as policy as code and evaluated deterministically rather than left to client settings.
- Audit — a durable audit trail of every tool call for incident response and compliance evidence.
Ownership typically lands with the platform engineering team (inventory, gateway, tooling) in partnership with security (approval criteria, policy content, audit review). Treating it as a platform capability rather than per-team configuration is what makes the controls consistent.
HOW POLICYLAYER USES THIS
PolicyLayer is a hosted control plane for exactly this. Teams register their approved upstream MCP servers, define deterministic policies over them, issue per-person scoped tokens, and route AI clients through the gateway — so the inventory, the enforcement point, and the audit trail are the same system. Because clients connect via the gateway rather than directly to servers, usage outside the approved inventory is visible by omission.