stop_server

Stop a running server

SERVERCode MCP Server SOURCEagentics-ai/code-mcp
High RISK CLASS
Category Execute
Parameters 00 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/agentics-ai-code-mcp/stop-server.md

What stop_server does on Code MCP Server

AI agents invoke stop_server to trigger actions in Code 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 stop_server is rated High

This tool executes a command that terminates a server process. While it does not permanently delete data (ruling out Destructive), it does execute an external operation that interrupts running services and could disrupt active operations or workflows. The context of a Code MCP Server with Docker integration suggests this could stop critical infrastructure.

From the tool's definition The tool 'stop_server' performs an operational action to 'stop a running server', which triggers an external operation with immediate effects on system state.

Questions about stop_server

What does the stop_server tool do? +

Stop a running server. It is categorised as a Execute tool in the Code 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 stop_server? +

Register the Code MCP Server MCP server in PolicyLayer and add a rule for stop_server: 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 Code MCP Server. Nothing to install.

What risk level is stop_server? +

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

Can I rate-limit stop_server? +

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

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

stop_server is provided by the Code MCP Server MCP server (agentics-ai/code-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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