This record as markdown: /tools/io-github-portel-dev-ncp/apply-manifest.md
What apply_manifest does on Ncp
AI agents invoke apply_manifest to trigger actions in Ncp. 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_manifest is rated High
Applying a Kubernetes manifest can create, update, or replace any cluster resource (Deployments, Services, RBAC rules, etc.), triggering real infrastructure changes. It is not purely Write because it executes against a live cluster with immediate operational effects. Misuse could expose services, escalate privileges, or destabilize workloads, making severity high.
From the tool's definition 'Apply Kubernetes manifest to cluster' — applying a manifest triggers external operations that create, modify, or reconfigure live cluster resources
Attacks that exploit this kind of access
The rule that runs apply_manifest safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Ncp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For apply_manifest, this is the rule to start with:
apply_manifest 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 Ncp, apply this rule, and every apply_manifest call is checked against it from then on.
Questions about apply_manifest
Apply Kubernetes manifest to cluster. It is categorised as a Execute tool in the Ncp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Ncp MCP server in PolicyLayer and add a rule for apply_manifest: 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 Ncp. Nothing to install.
apply_manifest 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_manifest 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_manifest. 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_manifest is provided by the Ncp MCP server (@portel/ncp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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