(自行判断是AI输入还是用户手动输入)向正在运行的交互式命令发送用户输入。
AI agents invoke send_input_to_command to trigger actions in Kali Linux 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 sends arbitrary input to running interactive commands on a Kali Linux penetration testing server. In context, the sibling tools (execute_command, start_interactive_command) and the server's explicit support for SQL injection and command execution make this an Execute-category tool with critical severity.
From the tool's definition '向正在运行的交互式命令发送用户输入' (send input to a running interactive command); server description explicitly mentions 'SQL injection and command execution' via Kali Linux penetration testing commands
Documented attack patterns abuse exactly the kind of access send_input_to_command gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Kali Linux MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for send_input_to_command:
{
"version": "1",
"default": "deny",
"tools": {
"send_input_to_command": {
"limits": [
{
"counter": "send_input_to_command_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}send_input_to_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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(自行判断是AI输入还是用户手动输入)向正在运行的交互式命令发送用户输入。. It is categorised as a Execute tool in the Kali Linux MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Kali Linux MCP Server MCP server in PolicyLayer and add a rule for send_input_to_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 Kali Linux MCP Server. Nothing to install.
send_input_to_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 send_input_to_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 send_input_to_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.
send_input_to_command is provided by the Kali Linux MCP Server MCP server (sfz009900/kalilinuxmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 5 Kali Linux MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
5 Kali Linux MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.