AI agents invoke deploy to trigger actions in Komodo. 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.
The 'deploy' tool executes deployment operations on infrastructure managed by Komodo (servers, containers, stacks). This triggers real-world external effects—spinning up services, allocating resources, potentially exposing systems. It is not merely creating metadata (Write) but actively running/activating infrastructure. Cannot be classified as Destructive (not deletion), Financial (no money moved), or Read.
From the tool's definition Tool named 'deploy' on Komodo DevOps platform server that manages 'deployments' alongside build and stack creation.
Documented attack patterns abuse exactly the kind of access deploy gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Komodo, and nothing reaches the server without passing your rules. This is the rule we recommend for deploy:
{
"version": "1",
"default": "deny",
"tools": {
"deploy": {
"limits": [
{
"counter": "deploy_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}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.
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deploy. It is categorised as a Execute tool in the Komodo MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Komodo 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 Komodo. 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 Komodo MCP server (myrikld/komodo-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Komodo, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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53 Komodo tools catalogued and risk-classified — across an index of 43,000+ MCP servers.