Stop the MITM proxy. Traffic history and CA certificate are retained.
AI agents invoke proxy_stop to trigger actions in Proxy. 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.
The tool executes a system-level operation (stopping a service) whose effects depend on the current state of the proxy. While stopping a proxy is not inherently destructive or financially harmful, it is an Execute category action because it triggers an external operation that changes system state.
From the tool's definition Tool performs 'Stop the MITM proxy' — a command that terminates a running service/process. This is an execute action that triggers external operations (stopping a proxy daemon).
Documented attack patterns abuse exactly the kind of access proxy_stop gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Proxy, and nothing reaches the server without passing your rules. This is the rule we recommend for proxy_stop:
{
"version": "1",
"default": "deny",
"tools": {
"proxy_stop": {
"limits": [
{
"counter": "proxy_stop_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} proxy_stop 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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Stop the MITM proxy. Traffic history and CA certificate are retained. It is categorised as a Execute tool in the Proxy MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Proxy MCP server in PolicyLayer and add a rule for proxy_stop: 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 Proxy. Nothing to install.
proxy_stop 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 proxy_stop 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 proxy_stop. 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.
proxy_stop is provided by the Proxy MCP server (yfe404/proxy-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Proxy, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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89 Proxy tools catalogued and risk-classified — across an index of 43,000+ MCP servers.