High Risk →

asyncssh

Execute commands via async SSH client

Risk signalsRuns arbitrary commands on remote servers

Part of the Pypi:ssh Licco server.

asyncssh can trigger actions in Pypi:ssh Licco, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke asyncssh to trigger processes or run actions in Pypi:ssh Licco. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

asyncssh can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

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

See the full Pypi:ssh Licco policy for all 6 tools.

Get this rule live on your own Pypi:ssh Licco server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access asyncssh gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so asyncssh only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the asyncssh tool do? +

Execute commands via async SSH client. It is categorised as a Execute tool in the Pypi:ssh Licco MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on asyncssh? +

Register the Pypi:ssh Licco MCP server in PolicyLayer and add a rule for asyncssh: 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 Pypi:ssh Licco. Nothing to install.

What risk level is asyncssh? +

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

Can I rate-limit asyncssh? +

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

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

asyncssh is provided by the Pypi:ssh Licco MCP server (pypi:ssh-licco). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Pypi:ssh Licco tool call.

Deterministic rules across all 6 Pypi:ssh Licco tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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