stop_proxify
Terminates a running proxify background process.
This record as markdown: /tools/halilkirazkaya-pentester-mcp/stop-proxify.md
What stop_proxify does on Pentester-MCP
AI agents invoke stop_proxify to trigger actions in Pentester-MCP. 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_proxify is rated High
This tool executes a system-level operation (terminating a background process). While it does not delete data irreversibly or modify application state directly, it triggers an external operation whose effects depend on what is currently running. Process termination is an Execute action rather than Read or Write because it performs a control action on a running system component.
From the tool's definition Tool name 'stop_proxify' and description 'Terminates a running proxify background process' indicate execution of a process termination command.
Attacks that exploit this kind of access
The rule that runs stop_proxify safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Pentester-MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For stop_proxify, this is the rule to start with:
stop_proxify 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Pentester-MCP, apply this rule, and every stop_proxify call is checked against it from then on.
Questions about stop_proxify
Terminates a running proxify background process. It is categorised as a Execute tool in the Pentester-MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Pentester MCP server in PolicyLayer and add a rule for stop_proxify: 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 Pentester-MCP. Nothing to install.
stop_proxify 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 stop_proxify 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 stop_proxify. 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.
stop_proxify is provided by the Pentester MCP server (halilkirazkaya/pentester-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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