run_cmd

A execute tool on the Allcanuse MCP server.

SERVERAllcanuse SOURCEra1nyxin/allcanuse-mcp

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/ra1nyxin-allcanuse-mcp/run-cmd.md

WHAT IT DOES

What run_cmd does on Allcanuse

AI agents invoke run_cmd to trigger actions in Allcanuse. 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.

RISK

Why run_cmd is rated High

A tool called 'run_cmd' almost certainly executes arbitrary shell commands on the local system (Windows/Linux as stated). This is Execute category because it triggers external operations whose effects depend entirely on the command arguments.

From the tool's definition Tool named 'run_cmd' with no description provided; server description explicitly mentions 'command execution' as a core capability; sibling tools include 'compile_c_program' and 'capture_screenshot' indicating system-level operations.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs run_cmd safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Allcanuse, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For run_cmd, this is the rule to start with:

run_cmd Rate-limited

run_cmd 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": {
    "run_cmd": {
      "limits": [
        {
          "counter": "run_cmd_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Allcanuse, apply this rule, and every run_cmd call is checked against it from then on.

FAQ

Questions about run_cmd

What does the run_cmd tool do? +

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

How do I enforce a policy on run_cmd? +

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

What risk level is run_cmd? +

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

Can I rate-limit run_cmd? +

Yes. Add a rate_limit block to the run_cmd 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 run_cmd completely? +

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

run_cmd is provided by the Allcanuse MCP server (ra1nyxin/allcanuse-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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