cp
AI agents use cp to create or update resources in Windows Operations MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Windows Operations MCP environment.
The 'cp' command copies files reversibly without deletion, making it a Write operation. Severity is high because an AI agent could copy sensitive files to unintended locations, overwrite existing files, or duplicate malicious payloads across the system.
From the tool's definition Tool named 'cp' with no description provided. In Windows and Unix contexts, 'cp' is the standard copy command that creates or modifies data by duplicating files and directories.
Attacks that exploit this kind of access
cp. It is categorised as a Write tool in the Windows Operations MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Windows Operations MCP server in PolicyLayer and add a rule for cp: 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 Windows Operations MCP. Nothing to install.
cp is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the cp 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 cp. 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.
cp is provided by the Windows Operations MCP server (sandraschi/windows-operations-mcp). 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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