vercel_cancel_deployment

THE RISK

Critical Risk

Why vercel_cancel_deployment needs a policy

Cancelling a deployment is an irreversible action — once cancelled, the in-progress build is terminated and cannot be resumed. This constitutes a destructive operation with high blast radius as it can disrupt live deployments and the CI/CD pipeline.

From the tool's definition Cancel a deployment that is currently building

Documented attack patterns abuse exactly the kind of access vercel_cancel_deployment gives an agent:

POLICY

How to control vercel_cancel_deployment

PolicyLayer is an MCP gateway — it sits between your AI agents and Vercel, and nothing reaches the server without passing your rules. This is the rule we recommend for vercel_cancel_deployment:

policy.json

{
  "version": "1",
  "default": "deny",
  "hide": [
    "vercel_cancel_deployment"
  ]
}

vercel_cancel_deployment disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.

Create a free account and register Vercel — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

RESTRICT THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

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All 13 Vercel tools →

Destructive tools on other servers

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Go deeper

Critical-risk tools in Vercel → Every critical-risk tool this server exposes, in one view.
All critical-risk MCP tools → Every critical-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Blast radius → How much damage one compromised or confused agent can do — and how to bound it.
Tool call approval → Approval gates on individual tool calls: auto-allow, prompt, or deny.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about vercel_cancel_deployment

What does the vercel_cancel_deployment tool do? +

Cancel a deployment that is currently building. It is categorised as a Destructive tool in the Vercel MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on vercel_cancel_deployment? +

Register the Vercel MCP server in PolicyLayer and add a rule for vercel_cancel_deployment: 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 Vercel. Nothing to install.

What risk level is vercel_cancel_deployment? +

vercel_cancel_deployment is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit vercel_cancel_deployment? +

Yes. Add a rate_limit block to the vercel_cancel_deployment 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.

How do I block vercel_cancel_deployment completely? +

Set action: deny in the PolicyLayer policy for vercel_cancel_deployment. 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.

What MCP server provides vercel_cancel_deployment? +

vercel_cancel_deployment is provided by the Vercel MCP server (xiayeai/vercel-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Vercel tool call.

Start from Vercel, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →