This record as markdown: /tools/chistokhinsv-gns3-mcp/ssh.md
What ssh does on GNS3 MCP Server
AI agents invoke ssh to trigger actions in GNS3 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.
Why ssh is rated High
SSH tools run remote commands on target systems. In the context of GNS3 network automation, SSH access to nodes likely enables arbitrary command execution on virtual network devices. The description is empty, reducing confidence, but the server context and tool name strongly imply remote command execution capability.
From the tool's definition Tool name 'ssh' on a GNS3 server described as enabling control of network lab automation including 'consoles, and SSH'. SSH tools typically execute remote shell commands on network devices.
Attacks that exploit this kind of access
The rule that runs ssh safely
PolicyLayer is an MCP gateway: it sits between your AI agents and GNS3 MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For ssh, this is the rule to start with:
ssh 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.
The button opens the PolicyLayer dashboard: create your workspace, connect GNS3 MCP Server, apply this rule, and every ssh call is checked against it from then on.
Questions about ssh
ssh is a execute tool on the GNS3 MCP Server MCP server. It is categorised as a Execute tool in the GNS3 MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the GNS3 MCP Server MCP server in PolicyLayer and add a rule for ssh: 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 GNS3 MCP Server. Nothing to install.
ssh 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 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. 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 is provided by the GNS3 MCP Server MCP server (chistokhinsv/gns3-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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