Create a new deployment with all required data
AI agents invoke create_deployment to trigger actions in Vercel MCP Server. 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.
Creating a deployment executes an external operation that provisions and runs infrastructure, publishes code to production or preview environments, and has significant blast radius if misused (e.g., deploying malicious or broken code). It is not purely a data write — it triggers active compute and networking operations on external systems.
From the tool's definition 'Create a new deployment with all required data' — triggers a live deployment operation on Vercel infrastructure
Documented attack patterns abuse exactly the kind of access create_deployment gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Vercel MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for create_deployment:
{
"version": "1",
"default": "deny",
"tools": {
"create_deployment": {
"limits": [
{
"counter": "create_deployment_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}create_deployment 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.
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Create a new deployment with all required data. It is categorised as a Execute tool in the Vercel MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Vercel MCP Server MCP server in PolicyLayer and add a rule for create_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 MCP Server. Nothing to install.
create_deployment 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 create_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.
Set action: deny in the PolicyLayer policy for create_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.
create_deployment is provided by the Vercel MCP Server MCP server (quegenx/vercel-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 154 Vercel MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
154 Vercel MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.