Enterprises should use public registries for discovery and evaluation, then shift production governance to an internal registry. The deciding factors are control over access, version pinning, rollback, approval workflows, and visibility into public and private servers. If sensitive data, compliance obligations, or multiple teams are involved, internal control is the safer operating model.
Why This Matters for Security Teams
For MCP, the registry decision is not just a catalog choice. It determines who can discover servers, who can approve them, how version changes are controlled, and whether production use can be audited after something goes wrong. Public registries are useful for exploration, but they rarely satisfy enterprise requirements for access scoping, change control, or evidence retention. The risk grows quickly when tool endpoints can reach sensitive data or trigger actions across business systems.
That is why NHI governance must treat registry location as an operational control, not a convenience feature. The same logic appears in AI Agents: The New Attack Surface report, where unauthorized scope and weak visibility are recurring themes, and in the OWASP Agentic AI Top 10, which reinforces that agent and tool governance must be explicit. In practice, many security teams discover registry weaknesses only after a public mcp server has already been wired into a workflow and started moving data outside intended boundaries.
How It Works in Practice
Most enterprises use a two-stage model. Public registries support discovery, benchmarking, and early validation. Internal registries handle production approval, version pinning, policy enforcement, and decommissioning. That split works because the enterprise is not trying to ban public ecosystems; it is trying to prevent unvetted MCP servers from becoming persistent operational dependencies.
A strong internal registry usually includes:
- Approval workflows tied to security, legal, and platform ownership.
- Version pinning so an upstream server change does not alter behaviour without review.
- Rollback paths for broken tools or unsafe capability changes.
- Metadata for data sensitivity, permitted scopes, and owning team.
- Logging that records which agent, user, or workflow invoked which tool and when.
At runtime, the registry decision should connect to workload identity and policy evaluation, not just a one-time intake process. Current guidance suggests treating MCP servers like privileged integration assets: issue access only when a specific use case is approved, and revoke it when the use case ends. The patterns described in The State of MCP Server Security 2025 are a reminder why this matters: exposed secrets and weak access scoping make uncontrolled registry usage dangerous. For implementation thinking, the OWASP Top 10 for Agentic Applications 2026 is useful because it frames tool use, prompt injection, and insecure integration as system-level risk, not isolated bugs.
Enterprises also need a separate policy for public registry intake. Best practice is evolving, but a practical pattern is to allow public servers into a staging or evaluation zone only, then promote them into the internal registry after security review, scope validation, and owner assignment. These controls tend to break down when teams bypass the registry to connect agents directly to public MCP endpoints because the approval path becomes invisible.
Common Variations and Edge Cases
Tighter registry control often increases onboarding time, so organisations must balance speed of experimentation against the cost of unmanaged tool sprawl. That tradeoff is especially visible in engineering and data science teams that want to test new servers quickly.
There is no universal standard for this yet, but several edge cases are common. Small pilot teams may keep a limited public-registry workflow if no sensitive data is involved and the tool only runs in a sandbox. Regulated environments usually need an internal registry much earlier because they must prove which tools were approved, when they changed, and who had access. Multi-team environments also benefit from an internal registry because the same MCP server can have different risk profiles depending on which agent uses it and what data it can reach.
Another common mistake is assuming a public registry is “safe enough” because the server listing is visible. Visibility is not governance. If the enterprise cannot pin versions, inspect permissions, or revoke access centrally, the registry is operating as a discovery layer rather than a control point. The operational lesson from Ultimate Guide to NHIs — Why NHI Security Matters Now is that identity, secrets, and access boundaries must remain under enterprise control once production traffic begins.
For teams that need a policy benchmark, the current direction in OWASP Agentic AI Top 10 and the OWASP Agentic Applications Top 10 is clear: discovery can be public, but governance must be private.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Agentic AI Top 10, OWASP Non-Human Identity Top 10 and CSA MAESTRO address the attack and risk surface, while NIST AI RMF and NIST Zero Trust (SP 800-207) set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Agentic AI Top 10 | A5 | Tool and integration governance is central to MCP registry decisions. |
| OWASP Non-Human Identity Top 10 | NHI-01 | Registry choice affects how non-human identities and credentials are controlled. |
| CSA MAESTRO | MAESTRO addresses governance for agentic workloads and tool ecosystems. | |
| NIST AI RMF | AI RMF supports risk-based oversight of dynamic tool access and change control. | |
| NIST Zero Trust (SP 800-207) | SC-7 | Registry access should be segmented so discovery is separate from production trust. |
Separate public discovery from internal production trust with explicit network and policy boundaries.
Related resources from NHI Mgmt Group
- What is the difference between attack surface management and NHI governance?
- What is the difference between reviewing human access and reviewing NHIs?
- What is the difference between role-based access and API key governance for NHI security?
- What is the difference between human IAM controls and NHI governance?