Type a command, press Enter, wait for output, then capture screen and OCR. Convenient for running shell commands on the target PC.
AI agents invoke execute_and_read to trigger actions in Mcp Serial Hid Kvm. 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.
Shell command execution on a remote physical PC is a classic Execute action—the effects are determined entirely by the command argument and the tool triggers external operations on the target system. Severity is critical because shell command execution provides near-unlimited capability for an AI agent to compromise the target PC (data exfiltration, malware installation, lateral movement, system reconfiguration).
From the tool's definition Description states "Type a command, press Enter, wait for output" and explicitly identifies this as "running shell commands on the target PC." Combined with the server's provision of "full keyboard, mouse, and screen access to a physical PC," this tool…
Attacks that exploit this kind of access
Type a command, press Enter, wait for output, then capture screen and OCR. Convenient for running shell commands on the target PC. It is categorised as a Execute tool in the Mcp Serial Hid Kvm MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mcp Serial Hid Kvm MCP server in PolicyLayer and add a rule for execute_and_read: 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 Mcp Serial Hid Kvm. Nothing to install.
execute_and_read 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 execute_and_read 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 execute_and_read. 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.
execute_and_read is provided by the Mcp Serial Hid Kvm MCP server (sunasaji/mcp-serial-hid-kvm). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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