This record as markdown: /tools/aapanel-mcp/plugin-install.md
What plugin_install does on Aapanel
AI agents invoke plugin_install to trigger actions in Aapanel. 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 plugin_install is rated High
Installing software/plugins executes installation processes on the server, modifying the system state by adding new software. This is more than a simple write operation as it involves executing code and potentially modifying system configurations. Misuse could install malicious plugins or unwanted software on the server.
From the tool's definition Install a software/plugin
Attacks that exploit this kind of access
The rule that runs plugin_install safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Aapanel, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For plugin_install, this is the rule to start with:
plugin_install 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Aapanel, apply this rule, and every plugin_install call is checked against it from then on.
Questions about plugin_install
Install a software/plugin. It is categorised as a Execute tool in the Aapanel MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Aapanel MCP server in PolicyLayer and add a rule for plugin_install: 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 Aapanel. Nothing to install.
plugin_install 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 plugin_install 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 plugin_install. 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.
plugin_install is provided by the Aapanel MCP server (nipunanirmal/aapanel-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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