AI agents invoke code_executor to trigger actions in Grok MCP. 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.
The name 'code_executor' directly implies running/executing code, which maps to the Execute category. Arbitrary code execution can have significant blast radius depending on the environment and permissions. Confidence is reduced due to the empty description, but the name is unambiguous enough to warrant a high severity Execute classification.
From the tool's definition Tool name is 'code_executor' — the name strongly implies executing code. Description is empty and uninformative.
Documented attack patterns abuse exactly the kind of access code_executor gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Grok MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for code_executor:
{
"version": "1",
"default": "deny",
"tools": {
"code_executor": {
"limits": [
{
"counter": "code_executor_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}code_executor 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.
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code_executor. It is categorised as a Execute tool in the Grok MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Grok MCP server in PolicyLayer and add a rule for code_executor: 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 Grok MCP. Nothing to install.
code_executor 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 code_executor 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 code_executor. 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.
code_executor is provided by the Grok MCP server (merterbak/grok-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Grok MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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22 Grok MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.