Terminate running processes by PID or name
AI agents invoke kill_process to trigger actions in MCP Workspace 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.
Killing a process is an irreversible action that immediately stops execution of running software. While it doesn't delete persistent data, terminating processes can cause data loss (unsaved work), disrupt services, and crash applications.
From the tool's definition "Terminate running processes by PID or name"
Attacks that exploit this kind of access
Terminate running processes by PID or name. It is categorised as a Execute tool in the MCP Workspace Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MCP Workspace Server MCP server in PolicyLayer and add a rule for kill_process: 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 Workspace Server. Nothing to install.
kill_process 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 kill_process 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 kill_process. 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.
kill_process is provided by the MCP Workspace Server MCP server (shayyeffet/ultimate_mcp_server). 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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