Create a reviewed execution plan for a non-trivial remote command
AI agents invoke ssh_plan_command to trigger actions in SSH Remote MCP Server. 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.
This tool creates execution plans for remote commands to be run on SSH servers. Even though it's a planning step rather than direct execution, it prepares arbitrary remote command execution which falls under Execute category. The blast radius is high because these plans can involve any remote command on connected servers, and misuse could stage harmful operations.
From the tool's definition 'Create a reviewed execution plan for a non-trivial remote command' — plans are for executing remote commands on SSH servers
Documented attack patterns abuse exactly the kind of access ssh_plan_command gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and SSH Remote MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for ssh_plan_command:
{
"version": "1",
"default": "deny",
"tools": {
"ssh_plan_command": {
"limits": [
{
"counter": "ssh_plan_command_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} ssh_plan_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.
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Create a reviewed execution plan for a non-trivial remote command. It is categorised as a Execute tool in the SSH Remote MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the SSH Remote MCP Server MCP server in PolicyLayer and add a rule for ssh_plan_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 SSH Remote MCP Server. Nothing to install.
ssh_plan_command 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 ssh_plan_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.
Set action: deny in the PolicyLayer policy for ssh_plan_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.
ssh_plan_command is provided by the SSH Remote MCP Server MCP server (nqmn/adremote-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from SSH Remote MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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21 SSH Remote MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.