Approve a stored plan so it can be executed
AI agents invoke ssh_approve_plan 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.
Approving a plan gates the execution of arbitrary SSH commands on remote systems. The act of approval directly enables execution, making this an Execute-category action. The blast radius is critical because the underlying plan could contain any shell commands on remote infrastructure, including destructive or system-altering operations.
From the tool's definition 'Approve a stored plan so it can be executed' - approval triggers execution of previously stored commands on a remote SSH server
Documented attack patterns abuse exactly the kind of access ssh_approve_plan 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_approve_plan:
{
"version": "1",
"default": "deny",
"tools": {
"ssh_approve_plan": {
"limits": [
{
"counter": "ssh_approve_plan_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} ssh_approve_plan 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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Approve a stored plan so it can be executed. 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_approve_plan: 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_approve_plan 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_approve_plan 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_approve_plan. 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_approve_plan 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.