Start capturing network requests. With capture_bodies=true also records request/response
AI agents invoke network_start to trigger actions in MCP Camoufox. 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.
This tool initiates an active network monitoring/capture process within a stealth browser session. It triggers an ongoing external operation (packet/request interception) that affects browser behavior and can record sensitive request/response body data. This goes beyond passive reading — it starts a capture process with side effects, fitting the Execute category.
From the tool's definition Start capturing network requests. With capture_bodies=true also records request/response
Documented attack patterns abuse exactly the kind of access network_start gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Camoufox, and nothing reaches the server without passing your rules. This is the rule we recommend for network_start:
{
"version": "1",
"default": "deny",
"tools": {
"network_start": {
"limits": [
{
"counter": "network_start_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} network_start 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.
Free to start. No card required.
Start capturing network requests. With capture_bodies=true also records request/response. It is categorised as a Execute tool in the MCP Camoufox MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MCP Camoufox MCP server in PolicyLayer and add a rule for network_start: 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 Camoufox. Nothing to install.
network_start 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 network_start 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 network_start. 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.
network_start is provided by the MCP Camoufox MCP server (robithyusuf/mcp-camoufox). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Camoufox, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
102 MCP Camoufox tools catalogued and risk-classified — across an index of 43,000+ MCP servers.