This record as markdown: /tools/caravanglory-cocos-mcp-server/execute-script.md
What execute_script does on Cocos
AI agents invoke execute_script 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 execute_script is rated High
This tool allows running arbitrary JavaScript code within the editor's scene context, which can access and modify the entire game project state, assets, nodes, components, and potentially invoke other editor APIs.
From the tool's definition Tool name 'execute_script' and description 'Execute JavaScript in scene context' directly indicate arbitrary code execution within the Cocos Creator editor environment.
Attacks that exploit this kind of access
The rule that runs execute_script 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 execute_script, this is the rule to start with:
execute_script 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 execute_script call is checked against it from then on.
Questions about execute_script
Execute JavaScript in scene context. 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 execute_script: 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.
execute_script 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 execute_script 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 execute_script. 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.
execute_script 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.
Across the catalogue