This record as markdown: /tools/io-github-dave-london-npm/apply.md
What apply does on Npm
AI agents invoke apply to trigger actions in Npm. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why apply is rated High
Applying a Kubernetes manifest triggers real changes to a live cluster: it can create new workloads, modify existing resources, grant permissions, or expose services. This is an external operation with significant blast radius if misused (e.g., deploying malicious containers, escalating privileges). The effect depends entirely on the manifest contents, placing it firmly in Execute.
From the tool's definition 'Applies a Kubernetes manifest file' — applying a Kubernetes manifest creates, updates, or reconfigures live cluster resources (Deployments, Services, RBAC, etc.) based on the manifest contents.
Attacks that exploit this kind of access
The rule that runs apply safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Npm, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For apply, this is the rule to start with:
apply stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Npm, apply this rule, and every apply call is checked against it from then on.
Questions about apply
Applies a Kubernetes manifest file. It is categorised as a Execute tool in the Npm MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Npm MCP server in PolicyLayer and add a rule for apply: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Npm. Nothing to install.
apply is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the apply rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for apply. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
apply is provided by the Npm MCP server (Dave-London/Pare). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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