AI agents invoke promote_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.
Promoting a deployment changes the live/active production environment, which is an external operational trigger with significant blast radius. It is not purely destructive (previous deployment typically remains), but it executes a state change that affects live traffic and production systems, making Execute the appropriate category at high severity.
From the tool's definition 'Promote a deployment' — promoting a deployment triggers an external operation that changes which deployment is active/live in production
Documented attack patterns abuse exactly the kind of access promote_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 promote_deployment:
{
"version": "1",
"default": "deny",
"tools": {
"promote_deployment": {
"limits": [
{
"counter": "promote_deployment_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}promote_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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Promote a deployment. 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 promote_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.
promote_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 promote_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 promote_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.
promote_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.