ansible_run_adhoc

Run an ad-hoc Ansible command against hosts. Supports ping, setup (facts), command, shell, and Cisco IOS modules.

Server Multi-Tool MCP Server shawn-falconbury/mcp-server
Category Execute
Risk class High
Parameters 00 required

What ansible_run_adhoc does on Multi-Tool MCP Server

AI agents invoke ansible_run_adhoc to trigger actions in Multi-Tool 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.

Why ansible_run_adhoc needs a policy

This tool executes arbitrary commands and shell operations on potentially multiple remote hosts through Ansible. While not inherently destructive (Delete/Destructive category), it can run any command whose effects depend on arguments provided by the AI agent.

From the tool's definition Tool description states 'Run an ad-hoc Ansible command against hosts' with support for 'command, shell' modules, which execute arbitrary code on remote systems. The mention of 'Cisco IOS modules' indicates network device manipulation capabilities.

Questions about ansible_run_adhoc

What does the ansible_run_adhoc tool do? +

Run an ad-hoc Ansible command against hosts. Supports ping, setup (facts), command, shell, and Cisco IOS modules. It is categorised as a Execute tool in the Multi-Tool MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on ansible_run_adhoc? +

Register the Multi-Tool MCP Server MCP server in PolicyLayer and add a rule for ansible_run_adhoc: 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 Multi-Tool MCP Server. Nothing to install.

What risk level is ansible_run_adhoc? +

ansible_run_adhoc is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit ansible_run_adhoc? +

Yes. Add a rate_limit block to the ansible_run_adhoc 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 ansible_run_adhoc completely? +

Set action: deny in the PolicyLayer policy for ansible_run_adhoc. 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 ansible_run_adhoc? +

ansible_run_adhoc is provided by the Multi-Tool MCP Server MCP server (shawn-falconbury/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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