ssh_connect_saved

THE RISK

High Risk

Why ssh_connect_saved needs a policy

This tool establishes an SSH connection to a remote server, which is an external operation that initiates network access and authentication. While the immediate action is 'connecting' (not destructive or financial), it enables subsequent command execution on remote systems, making it an Execute-category action.

From the tool's definition Connect to a remote server using a saved local SSH credential name

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

POLICY

How to control ssh_connect_saved

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_connect_saved:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "ssh_connect_saved": {
      "limits": [
        {
          "counter": "ssh_connect_saved_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

ssh_connect_saved 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.

Create a free account and register SSH Remote MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

RATE-LIMIT THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More SSH Remote MCP Server tools

Destructive ssh_delete_saved_credentials Delete a saved local SSH credential entry Execute ssh_execute Execute a command on a remote SSH connection Execute ssh_execute_plan Execute an approved command or remote file edit plan Execute ssh_approve_plan Approve a stored plan so it can be executed Execute ssh_connect Connect to a remote Ubuntu server via SSH Execute ssh_plan_command Create a reviewed execution plan for a non-trivial remote command Write ssh_plan_edit Create a managed remote file edit plan that requires approval before writing Write ssh_save_credentials Save SSH credentials locally under a reusable name. If a password is provided, the server

All 21 SSH Remote MCP Server tools →

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Go deeper

High-risk tools in SSH Remote MCP Server → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Agent sandbox → Bounding what an agent can execute and where the boundary should sit.
Least privilege for MCP → Granting agents the minimum tool surface the task needs.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about ssh_connect_saved

What does the ssh_connect_saved tool do? +

Connect to a remote server using a saved local SSH credential name. 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.

How do I enforce a policy on ssh_connect_saved? +

Register the SSH Remote MCP Server MCP server in PolicyLayer and add a rule for ssh_connect_saved: 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.

What risk level is ssh_connect_saved? +

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

Can I rate-limit ssh_connect_saved? +

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

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

ssh_connect_saved 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.

Enforce policy on every SSH Remote MCP Server tool call.

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.

CHECK YOUR STACK →