Ownership should sit with the team responsible for identity governance and privileged access, not only application engineering. If an MCP tool can read secrets, access data, or trigger actions, the organisation should assign an accountable owner, define scope, and review it through the same governance path as other high-risk non-human identities.
Why This Matters for Security Teams
MCP tools sit at a sensitive junction: they can expose secrets, query data, and trigger downstream actions inside AI workflows. That makes ownership a governance problem, not just an integration task. If the accountable team is only the application builder, tool scope often expands faster than reviews, and privilege creep follows. NHI Management Group’s research on the Top 10 NHI Issues shows that unclear ownership and weak lifecycle controls are recurring failure points when machine identities are allowed to accumulate access without a clear steward.
This is why ownership should align to identity governance and privileged access, with application engineering acting as a consumer of the control process rather than the sole custodian. The same logic appears in NIST Cybersecurity Framework 2.0, which emphasizes accountable governance, risk ownership, and control execution across the environment. For MCP, the practical question is not who implemented the tool, but who can revoke it, scope it, and defend its access path when auditors or incident responders ask. In practice, many security teams encounter MCP overreach only after a tool has already read more data or triggered more actions than its original use case justified.
How It Works in Practice
Ownership should be assigned to the team that already manages high-risk identity and access decisions, usually IAM, identity governance, PAM, or a dedicated platform security function. That owner defines the tool’s purpose, data boundaries, approved models, upstream and downstream systems, and approval path. Application teams still build and maintain the integration, but they do not own the access decision by default. This reflects the direction of OWASP Agentic AI Top 10, which treats tool misuse, over-permissioning, and unsafe tool invocation as governance issues, not just code quality issues.
In a mature process, the owner should require:
- an inventory entry for each MCP tool, including purpose and data classification
- a named business and technical owner for approvals and exceptions
- least-privilege scopes for secrets, APIs, and data connectors
- review cadence tied to change management, not release speed alone
- revocation authority when a tool is unused, overbroad, or misbehaving
That governance should be informed by lifecycle controls described in NHI Management Group’s Ultimate Guide to NHIs, Lifecycle Processes for Managing NHIs, because MCP tools behave like non-human identities when they hold credentials and act on behalf of workloads. For implementation details, security teams should also map control design to NIST SP 800-53 Rev 5 Security and Privacy Controls, especially access enforcement, separation of duties, and system authorization. These controls tend to break down when MCP is embedded in fast-moving product teams with no central inventory, because ownership, approvals, and revocation all become tribal knowledge.
Common Variations and Edge Cases
Tighter ownership often adds review overhead, so organisations have to balance speed against control depth, especially when AI teams want to prototype quickly. The right answer is not to block experimentation, but to use tiered governance based on what the MCP tool can actually do. A read-only retrieval tool should not be treated the same as a tool that can access secrets, move money, or execute admin actions.
There is no universal standard for this yet, but current guidance suggests splitting ownership by risk tier. Low-risk tools can be reviewed by the platform or product owner with security oversight, while high-risk tools should require identity governance, PAM, and formal exception handling. This becomes more important in agentic environments where a single tool can be chained with others to create broader impact. NHI Management Group’s analysis of the Analysis of Claude Code Security and related agentic research shows that tool access is often the real control plane, not the model itself. For teams designing policy, the practical test is simple: if the MCP tool can amplify privilege, its owner must sit with the people accountable for privilege.
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, CSA MAESTRO and OWASP Non-Human Identity Top 10 address the attack and risk surface, while NIST AI RMF and NIST CSF 2.0 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Agentic AI Top 10 | T1 | Tool misuse and unsafe invocation are central to MCP ownership decisions. |
| CSA MAESTRO | GO-1 | Governance ownership and accountability are core to secure agentic tool use. |
| NIST AI RMF | GOV-1 | AI governance requires clear accountability for high-impact tool access. |
| OWASP Non-Human Identity Top 10 | NHI-01 | MCP tools act like NHIs when they hold secrets and access systems. |
| NIST CSF 2.0 | GV.RM-01 | Governance and risk management need an accountable owner for tool access. |
Create accountable governance for MCP tools with documented risk ownership and escalation paths.
