Start an interactive capture session. Launches browser, begins capturing API traffic.
AI agents invoke apitap_capture_start to trigger actions in ApiTap. 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.
apitap_capture_start triggers browser automation and captures live API traffic, which is an active operation with external effects. It is not merely reading static data (Read), nor is it creating/modifying persistent data in a reversible way (Write).
From the tool's definition Tool description states it "Launches browser, begins capturing API traffic" — this initiates an external browser process and starts monitoring network activity, which are side effects beyond read-only data retrieval.
Documented attack patterns abuse exactly the kind of access apitap_capture_start gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and ApiTap, and nothing reaches the server without passing your rules. This is the rule we recommend for apitap_capture_start:
{
"version": "1",
"default": "deny",
"tools": {
"apitap_capture_start": {
"limits": [
{
"counter": "apitap_capture_start_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} apitap_capture_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 an interactive capture session. Launches browser, begins capturing API traffic. It is categorised as a Execute tool in the ApiTap MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the ApiTap MCP server in PolicyLayer and add a rule for apitap_capture_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 ApiTap. Nothing to install.
apitap_capture_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 apitap_capture_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 apitap_capture_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.
apitap_capture_start is provided by the ApiTap MCP server (n1byn1kt/apitap). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from ApiTap, 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.
12 ApiTap tools catalogued and risk-classified — across an index of 43,000+ MCP servers.