High Risk →

execute_command

Execute a terminal command with timeout. Command will continue running in background if it doesn

How to control execute_command ↓

What execute_command does on Claude Desktop Commander MCP

AI agents invoke execute_command to trigger actions in Claude Desktop Commander 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.

High Risk

Why execute_command needs a policy

This tool enables arbitrary command execution on the host system with full access to the user's computer. The blast radius is critical: an agent could execute malicious commands, access sensitive data, modify system files, exfiltrate information, or cause system damage.

From the tool's definition Tool name 'execute_command' combined with description 'Execute a terminal command' directly indicates execution of arbitrary commands. Server description explicitly states 'execute terminal commands on your computer' and 'file system operations'.

Documented attack patterns abuse exactly the kind of access execute_command gives an agent:

How to control execute_command

PolicyLayer is an MCP gateway — it sits between your AI agents and Claude Desktop Commander MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for execute_command:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "execute_command": {
      "limits": [
        {
          "counter": "execute_command_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

execute_command 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.

  1. Create a free account and register Claude Desktop Commander MCP — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

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Related tools and policies

Go deeper

Questions about execute_command

What does the execute_command tool do? +

Execute a terminal command with timeout. Command will continue running in background if it doesn. It is categorised as a Execute tool in the Claude Desktop Commander MCP 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_command? +

Register the Claude Desktop Commander MCP server in PolicyLayer and add a rule for execute_command: 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 Claude Desktop Commander MCP. Nothing to install.

What risk level is execute_command? +

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

Can I rate-limit execute_command? +

Yes. Add a rate_limit block to the execute_command 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_command completely? +

Set action: deny in the PolicyLayer policy for execute_command. 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_command? +

execute_command is provided by the Claude Desktop Commander MCP server (strawhatai/claude-dev-tools). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Claude Desktop Commander MCP tool call.

Start from Claude Desktop Commander MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

19 Claude Desktop Commander MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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