MCP turns AI-facing integrations into persistent, callable access paths, which means secrets, resources, and tools all become part of the non-human identity surface. If those interfaces are not bound to lifecycle controls, teams lose visibility into who or what is using enterprise capabilities and when.
Why MCP Servers Expand the NHI Attack Surface
MCP servers change the governance problem because they turn once-isolated integrations into always-available, machine-callable access paths. That means API keys, service accounts, tool permissions, and downstream resources are no longer managed as separate technical controls. They become part of the non-human identity surface and need the same lifecycle discipline as any other production identity. NHI Management Group’s 2024 ESG Report: Managing Non-Human Identities shows how common compromised NHI incidents already are, which matters because MCP can multiply the places where those identities are exposed.
The security issue is not simply that an MCP server exists. It is that the server often concentrates access to many tools in one place, which creates a high-value execution point for secrets, scoped permissions, and chained operations. Guidance from OWASP Agentic AI Top 10 and NIST Cybersecurity Framework 2.0 points to the same operational reality: if the identity and authorization model is weak, the interface becomes the control plane for misuse. In practice, many security teams discover MCP exposure only after a server has already been wired into production workflows, rather than through intentional identity review.
How to Govern MCP Servers as Identity-Critical Infrastructure
Effective MCP governance starts by treating the server as a privileged workload boundary, not just an integration layer. Each server should have a distinct workload identity, a defined owner, and a documented set of tools it may expose. Static credentials are a poor fit when the server can be called repeatedly by different agents, because the access path is persistent even if the workload behind it is supposed to be transient. Current guidance suggests binding access to runtime context, with short-lived secrets and explicit authorization checks at request time.
That means three controls matter most in practice:
- Issue per-service or per-server identities and avoid shared credentials across MCP deployments.
- Scope tool access tightly, with separate approvals for read, write, and execution-capable actions.
- Log both tool invocation and upstream identity context so responders can trace which agent, user, or workflow caused the action.
The Lifecycle Processes for Managing NHIs guidance is especially relevant here because MCP servers often fail at the same point as other NHIs: credential sprawl, missed rotation, and orphaned access. The State of MCP Server Security 2025 reinforces that configuration files and hard-coded values are frequent exposure points, so secret handling must be designed as part of the server’s operating model. These controls tend to break down when teams allow multiple agents, environments, and tool catalogs to share one MCP endpoint because attribution and revocation become ambiguous.
Where MCP Governance Breaks Down in Real Environments
Tighter MCP control often increases operational overhead, requiring organisations to balance developer speed against access containment. That tradeoff is real, especially where teams want frictionless model connectivity across internal systems. Best practice is evolving, but there is no universal standard for this yet: some organisations rely on policy-as-code and strong workload identity, while others are still trying to inventory every server before they can enforce consistent rules.
The hardest edge cases usually involve broad-scope connectors, inherited permissions, or servers that broker access to multiple backends on behalf of several AI agents. In those cases, an MCP server can become a privilege aggregator, which makes it difficult to know whether a tool call came from an approved workflow or from an over-privileged agent chaining actions across systems. The OWASP NHI Top 10 and 52 NHI Breaches Analysis both underscore a recurring pattern: the exposure is rarely one secret alone, but the combination of persistent access, weak scoping, and poor lifecycle discipline.
Where organisations have high agent churn, frequent prompt or tool updates, or multiple MCP servers pointing to the same sensitive systems, the governance model can degrade quickly because the identity surface changes faster than review and revocation processes can keep up.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10 and OWASP Agentic AI Top 10 address the attack and risk surface, while NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-03 | MCP servers often rely on long-lived secrets that must be rotated and scoped. |
| OWASP Agentic AI Top 10 | MCP creates agent tool-access risks through persistent callable interfaces. | |
| NIST AI RMF | MCP governance requires runtime risk evaluation for autonomous tool use. |
Inventory MCP secrets, rotate them regularly, and remove hard-coded credentials from configs.
