This record as markdown: /tools/io-github-portel-dev-ncp/deploy.md
What deploy does on Ncp
AI agents invoke deploy 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 deploy is rated High
Deploying to EC2 is an Execute action that triggers external infrastructure changes whose effects depend on the deployment arguments (what code/configuration is deployed, to which instances, in what region). The blast radius is high as it can affect production systems, but not Financial or Destructive (assuming deployments are reversible through rollback or replacement).
From the tool's definition Tool name 'deploy' combined with description 'Deploy using aws-ec2-api' indicates execution of deployment operations against AWS EC2 infrastructure.
Attacks that exploit this kind of access
The rule that runs deploy 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 deploy, this is the rule to start with:
deploy 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 deploy call is checked against it from then on.
Questions about deploy
Deploy using aws-ec2-api. 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 deploy: 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.
deploy 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 deploy 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 deploy. 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.
deploy 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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