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manage_packages

Search, list, inspect, doctor, dry-run install, stage, and uninstall manifest-driven TouchDesigner community packages. Dry-run is the default. Installs stage packages under ~/.tdmcp/packages and only import into TouchDesigner when the bridge is reachable and the package has a safe .tox import pat...

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/manage-packages.md

What manage_packages does on Aos

AI agents invoke manage_packages 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 manage_packages is rated High

Tool can install and uninstall packages, triggering system-level changes beyond simple reads.

From the tool's definition stage, uninstall, installs stage packages, import into TouchDesigner

Questions about manage_packages

What does the manage_packages tool do? +

Search, list, inspect, doctor, dry-run install, stage, and uninstall manifest-driven TouchDesigner community packages. Dry-run is the default. Installs stage packages under ~/.tdmcp/packages and only import into TouchDesigner when the bridge is reachable and the package has a safe .tox import path. This tool never runs third-party scripts, pip installs, model downloads, or external app setup. 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 manage_packages? +

Register the Aos MCP server in PolicyLayer and add a rule for manage_packages: 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 manage_packages? +

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

Can I rate-limit manage_packages? +

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

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

manage_packages 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

PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

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:

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

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