Runs an Ansible playbook and returns structured play recap with per-host results.
AI agents invoke ansible-playbook to trigger actions in Make. 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.
Ansible playbooks execute automation tasks across potentially many remote hosts, including configuration changes, service management, file modifications, and package installations. The blast radius is high as a misused playbook could affect numerous systems. This is a remote execution operation with side effects dependent on playbook arguments.
From the tool's definition Runs an Ansible playbook and returns structured play recap with per-host results
Documented attack patterns abuse exactly the kind of access ansible-playbook gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Make, and nothing reaches the server without passing your rules. This is the rule we recommend for ansible-playbook:
{
"version": "1",
"default": "deny",
"tools": {
"ansible-playbook": {
"limits": [
{
"counter": "ansible-playbook_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}ansible-playbook 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.
Free to start. No card required.
Runs an Ansible playbook and returns structured play recap with per-host results. It is categorised as a Execute tool in the Make MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Make MCP server in PolicyLayer and add a rule for ansible-playbook: 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 Make. Nothing to install.
ansible-playbook 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 ansible-playbook 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 ansible-playbook. 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.
ansible-playbook is provided by the Make MCP server (Dave-London/Pare). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Make, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
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