This record as markdown: /tools/aapanel-mcp/project-start.md
What project_start does on Aapanel
AI agents invoke project_start 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 project_start is rated High
Starting a project is an executable action that initiates processes or services in the underlying system. This is not a read operation (no data retrieval), not destructive (reversible via project_stop), and not financial. It qualifies as Execute because it triggers external operations with effects dependent on arguments.
From the tool's definition Tool name 'project_start' indicates execution of a project startup action. In a panel management context (aaPanel), this triggers external operational effects (starting services, processes, or applications) whose outcomes depend on which project is targeted.
Attacks that exploit this kind of access
The rule that runs project_start 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 project_start, this is the rule to start with:
project_start 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 project_start call is checked against it from then on.
Questions about project_start
Start a project. 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 project_start: 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.
project_start 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 project_start 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 project_start. 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.
project_start 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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