MCP registries: what they mean for agent governance and access

TL;DR: MCP registries give AI agents a centralized way to discover tools, but Kong’s analysis shows the real issue is governance: without access control, auditability, and gateway enforcement, discovery becomes unmanaged shadow AI at runtime. That shifts the control point from integration convenience to identity, policy, and observability.

NHIMG editorial — based on content published by Kong: What is an MCP Registry? The Centralized Directory for AI Agents

Questions worth separating out

Q: How should security teams govern AI agents that discover tools at runtime?

A: Security teams should treat agent tool discovery as an access event, not a documentation lookup.

Q: Why do MCP registries create new IAM and NHI governance requirements?

A: Because they centralize the discovery of machine-consumable tools, they also centralize the point where policy can fail.

Q: What breaks when AI agents can access tools without a central registry?

A: Teams lose the ability to see, standardize, and revoke tool access consistently.

Practitioner guidance

• Define registry ownership and approval rules Establish who can publish MCP servers, who can approve entries, and what metadata is mandatory before discovery is allowed.
• Bind discovery to runtime enforcement Connect the registry to an MCP gateway or equivalent enforcement layer so approved discovery does not become uncontrolled access.
• Separate environments in the catalog Prevent development agents from discovering production tools unless access is explicitly authorised.

What's in the full article

Kong's full blog covers the operational detail this post intentionally leaves for the source:

• Specification-level differences between community, consortium, and enterprise MCP registries for production planning.
• Implementation details for per-environment access control, allowlisting, and audit trails inside an enterprise registry.
• How Kong positions registry governance alongside AI gateway enforcement for runtime policy decisions.
• Criteria for deciding when a private registry is preferable to a public discovery catalog.

👉 Read Kong's guide to MCP registries for AI agent governance →

MCP registries: what they mean for agent governance and access?

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