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execute_command

Execute an arbitrary grandMA3 command via OSC. Requires grandMA3 to be listening for OSC /cmd on port 8000.

SERVERAos SOURCE@hybridlabor-api/aos
High RISK CLASS
Category Execute
Parameters 00 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/hybridlabor-api-aos/execute-command.md

What execute_command does on Aos

AI agents invoke execute_command to trigger actions in Aos. 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 execute_command is rated High

Arbitrary command execution on grandMA3 lighting control system poses high operational risk.

From the tool's definition Execute an arbitrary grandMA3 command via OSC

Questions about execute_command

What does the execute_command tool do? +

Execute an arbitrary grandMA3 command via OSC. Requires grandMA3 to be listening for OSC /cmd on port 8000. It is categorised as a Execute tool in the Aos MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on execute_command? +

Register the Aos MCP server in PolicyLayer and add a rule for execute_command: 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 Aos. Nothing to install.

What risk level is execute_command? +

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

Can I rate-limit execute_command? +

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

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

execute_command is provided by the Aos MCP server (@hybridlabor-api/aos). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on Aos, and thousands of servers like it.

// THE MCP REGISTRY

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Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Aos's. Pull the full record:

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