This record as markdown: /tools/caravanglory-cocos-mcp-server/run-project.md
What run_project does on Cocos
AI agents invoke run_project to trigger actions in Cocos. 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 run_project is rated High
This tool invokes execution of a complete game project whose behavior depends on the project's code and configuration. While not directly executing arbitrary commands like 'execute_script', it launches a runtime environment that executes project-defined code.
From the tool's definition run_project executes the Cocos Creator project in preview mode, triggering external game engine operations and arbitrary code execution through the game scripts defined in the project.
Attacks that exploit this kind of access
The rule that runs run_project safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Cocos, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For run_project, this is the rule to start with:
run_project 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 Cocos, apply this rule, and every run_project call is checked against it from then on.
Questions about run_project
Run the project in preview mode. It is categorised as a Execute tool in the Cocos MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Cocos MCP server in PolicyLayer and add a rule for run_project: 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 Cocos. Nothing to install.
run_project 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 run_project 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 run_project. 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.
run_project is provided by the Cocos MCP server (caravanglory/cocos-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Cocos, and thousands of servers like it.
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