apitap_auth_request

THE RISK

High Risk

Why apitap_auth_request needs a policy

This tool launches a real browser session to perform authentication, which triggers external browser operations and establishes authenticated sessions. It's not a simple read — it creates auth state/cookies that persist and can be used for subsequent API calls. The effects (authenticated session) depend on the target site and credentials used.

From the tool's definition Open a visible browser for human login (handles 2FA, CAPTCHAs)

Documented attack patterns abuse exactly the kind of access apitap_auth_request gives an agent:

POLICY

How to control apitap_auth_request

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_auth_request:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "apitap_auth_request": {
      "limits": [
        {
          "counter": "apitap_auth_request_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

apitap_auth_request 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.

Create a free account and register ApiTap — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

RATE-LIMIT THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More ApiTap tools

Execute apitap_capture_start Start an interactive capture session. Launches browser, begins capturing API traffic. Execute apitap_capture Launch a browser to capture a site\ Execute apitap_capture_interact Drive a live capture session browser. Execute apitap_replay Call a captured API endpoint and return live data. Execute apitap_replay_batch Replay multiple captured endpoints in parallel across domains. Write apitap_capture_finish Finish a capture session: verifies endpoints and writes skill files. Read apitap_browse Get data from a URL in one call: checks skill files, runs discovery, replays best endpoint Read apitap_discover Probe a site\

All 12 ApiTap tools →

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Go deeper

High-risk tools in ApiTap → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Agent sandbox → Bounding what an agent can execute and where the boundary should sit.
Least privilege for MCP → Granting agents the minimum tool surface the task needs.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about apitap_auth_request

What does the apitap_auth_request tool do? +

Open a visible browser for human login (handles 2FA, CAPTCHAs). 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.

How do I enforce a policy on apitap_auth_request? +

Register the ApiTap MCP server in PolicyLayer and add a rule for apitap_auth_request: 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.

What risk level is apitap_auth_request? +

apitap_auth_request is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit apitap_auth_request? +

Yes. Add a rate_limit block to the apitap_auth_request 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.

How do I block apitap_auth_request completely? +

Set action: deny in the PolicyLayer policy for apitap_auth_request. 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.

What MCP server provides apitap_auth_request? +

apitap_auth_request 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.

Enforce policy on every ApiTap tool call.

Start from ApiTap, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →