execute_code · AgentExecMPC MCP: Risk & Policy

WHAT IT DOES

What execute_code does on AgentExecMPC

AI agents invoke execute_code to trigger actions in AgentExecMPC. 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 IT NEEDS A POLICY

Why execute_code needs a policy

execute_code runs arbitrary code in multiple runtime environments (Python, Node.js, Go). This is an Execute category tool because it triggers external operations and code execution whose outcomes depend entirely on the arguments provided. Severity is critical because unrestricted code execution poses maximum risk: an AI agent could exfiltrate data, modify system state, or harm infrastructure.

From the tool's definition Tool named 'execute_code' on a server explicitly described as enabling AI agents to execute code in Python/Node.js/Go. The server description confirms this tool runs code whose effects depend on arguments.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

execute_code Rate-limited

execute_code 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "execute_code": {
      "limits": [
        {
          "counter": "execute_code_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches AgentExecMPC, so you can run agents against it safely.

FAQ

Questions about execute_code

What does the execute_code tool do? +

execute_code. It is categorised as a Execute tool in the AgentExecMPC MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on execute_code? +

Register the AgentExecMPC MCP server in PolicyLayer and add a rule for execute_code: 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 AgentExecMPC. Nothing to install.

What risk level is execute_code? +

execute_code is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit execute_code? +

Yes. Add a rate_limit block to the execute_code 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.

How do I block execute_code completely? +

Set action: deny in the PolicyLayer policy for execute_code. 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.

What MCP server provides execute_code? +

execute_code is provided by the AgentExecMPC MCP server (realugbun/agentexecmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.