Review alone breaks when the reviewed package is later updated, repackaged, or modified in a way that keeps its interface intact but changes its behaviour. The result is a false sense of safety because the control evaluated the name and schema, not the running artefact.
Why This Matters for Security Teams
Trusting MCP package review alone treats a moving target as if it were static. A package can pass review at one moment and later be updated, repackaged, or reconfigured so its interface stays familiar while its runtime behaviour changes. That creates a gap between what was approved and what is actually executing. In MCP environments, that gap matters because tools often sit close to secrets, data connectors, and agent execution paths.
This is why review has to be paired with runtime controls, not used as a substitute for them. NHIMG’s LiteLLM PyPI package breach is a useful reminder that package trust can fail after publication, not just before it. The broader risk is consistent with current guidance from OWASP Agentic AI Top 10 and NIST control expectations around secure configuration and change management.
In practice, many security teams encounter malicious or unsafe behaviour only after a package has already been promoted into production, rather than through intentional verification of the running artefact.
How It Works in Practice
Package review usually checks metadata, source code, signatures, or a declared schema. Those checks are useful, but they do not guarantee that the deployed MCP server still matches the reviewed version. The control breaks down when the package is updated after approval, when a dependency introduces unexpected behaviour, or when a repackaged artefact preserves the same API while altering what it does with prompts, credentials, or downstream tools.
For MCP specifically, the safer model is to treat review as one layer in a chain of assurance. Security teams should verify the artifact in use, watch for drift, and constrain what the server can reach at runtime. That means combining package provenance with policy enforcement, environment isolation, and explicit allowlists for tools, secrets, and destinations. This is also where the NHIMG analysis of the Analysis of Claude Code Security becomes relevant: code-level trust is not the same as execution-level trust.
- Verify the exact artefact hash, signature, and build provenance before deployment.
- Revalidate packages after every update, republish, or dependency change.
- Bind MCP servers to least-privilege access and deny unknown tool routes by default.
- Monitor runtime behaviour for new outbound calls, credential access, or schema drift.
- Use policy checks at execution time, not only during package admission.
NIST’s SP 800-53 Rev. 5 Security and Privacy Controls supports this mindset by emphasizing configuration management, change control, and monitoring. The practical lesson is that approval is a snapshot, while risk lives in the running service. These controls tend to break down in fast-moving CI/CD pipelines where packages are auto-updated after review because the approved artifact is no longer the artifact executing in production.
Common Variations and Edge Cases
Tighter package governance often increases release friction, requiring organisations to balance faster adoption against stronger assurance. That tradeoff becomes more visible in environments that auto-publish internal MCP servers, use mirrored registries, or allow teams to rebuild the same package from different pipelines.
Best practice is evolving, but current guidance suggests that package review alone is insufficient for any environment where artefacts can be repackaged, re-signed, or dynamically assembled at deploy time. In those cases, trust must extend beyond the package name and schema to the actual binary, container image, dependency tree, and runtime policy. If an MCP server can pull live configuration, call external APIs, or invoke tools with broad privileges, then a clean review does not prove safe behaviour.
One useful operating rule is to separate trust in origin from trust in execution. Origin trust asks whether the package came from a legitimate source. Execution trust asks whether the exact thing running now still behaves as approved. The second question is the one that prevents surprise changes, especially when secrets or privileged connectors are involved. For organisations already studying MCP exposure patterns, the NHIMG The State of MCP Server Security 2025 report is a useful benchmark because it shows how often MCP deployments still lack basic access scoping.
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, OWASP Agentic AI Top 10 and CSA MAESTRO 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 Non-Human Identity Top 10 | NHI-03 | Package review must be backed by rotation and verification when artefacts change. |
| OWASP Agentic AI Top 10 | A2 | Agentic systems need runtime controls because static review cannot predict behaviour. |
| CSA MAESTRO | GOV-01 | Governance must cover deployment, drift, and runtime use of MCP-connected agents. |
| NIST AI RMF | GOVERN | AI governance requires accountability for the live system, not only pre-release review. |
| NIST CSF 2.0 | PR.IP-1 | Secure configuration management is needed to detect post-review package drift. |
Recheck NHI trust after every rebuild and rotate access whenever the running artefact changes.