MCP Server Governance: Securing the Agentic AI Tool Layer
Model Context Protocol (MCP) servers give agents access to tools and data. They're powerful — and they're a new surface you need to govern deliberately. This guide covers the essentials.
Put MCP servers under approval
Before an agent can use an MCP server, that server should clear an approval step. This is your chance to check security, ownership, and fit for purpose — once, up front — instead of discovering issues after the fact.
Keep a living registry
Maintain a single registry of the MCP servers in use, who owns each, and which agents depend on them. When something changes, you know immediately what's affected and who to talk to.
Connect tools to outcomes
Governing the tool layer isn't paperwork — it's how you keep agentic AI trustworthy. Clear approvals and ownership mean you can adopt new capabilities quickly while staying confident about what your agents can do.
Key takeaways
- Require approval before any agent uses an MCP server.
- Keep one registry of MCP servers, owners, and dependents.
- Govern the tool layer to adopt new capabilities with confidence.