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Exitprobe MCP Server

Developer ToolsModerate6.1MCP RegistryLocal
Free

Server data from the Official MCP Registry

Check whether an exit IP works for AI services: ASN, network type, risk, AI availability.

About

Check whether an exit IP works for AI services: ASN, network type, risk, AI availability.

Security Report

6.1
Moderate6.1Moderate Risk

exitprobe is a small, transparent client that sends GET requests to the public ipforai.cc API and returns the JSON response unchanged, with no credentials, shell execution, or local file access. Its main concerns are minor: fetches have no timeout, upstream text is passed to the AI client without size limits or sanitization, and IP input is not format-validated. Network access is expected for this purpose, so the score stays in the good range. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 2 high severity). Package verification found 1 issue.

8 files analyzed · 9 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-cloudcorprecords-exitprobe": {
      "args": [
        "-y",
        "@reneturcios/exitprobe"
      ],
      "command": "npx"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

exitprobe

An exit IP can look perfectly ordinary and still be useless for AI services: it may sit in a datacenter range, arrive through a proxy, or carry a risk profile that providers quietly refuse. exitprobe asks ipforai.cc to profile an exit address before you find that out the hard way.

The profile it returns covers the location, the ASN, the network type (residential, ISP, datacenter, proxy or Tor), the access and routing type, a risk level, an environment score, and whether common AI services are reachable from that exit, along with a link to the full report. exitprobe adds nothing of its own to that answer: a successful call hands the upstream JSON back verbatim, exactly as ipforai.cc produced it.

The two tools:

  • check_my_ip — profile the exit this machine actually uses, for both its IPv4 and IPv6 addresses where present. Handy as a pre-flight check before routing work through a new connection.
  • lookup_ip — profile any IPv4 or IPv6 address you name, so you can vet a candidate exit before anything depends on it.

A note on the lookup wire

check_my_ip is served from ipforai.cc's documented /json endpoint. For lookup_ip, the upstream documentation pins that the server calls ipforai.cc's /json and exit echo endpoints but does not pin the per-address lookup path, so this rebuild uses GET /json?ip=<ip> — a documented reconstruction, not a verified upstream contract. Because the profile JSON is returned verbatim either way, any field naming in the result is the upstream's own.

CLI

npx @reneturcios/exitprobe check_my_ip
npx @reneturcios/exitprobe lookup_ip '{"ip":"1.2.3.4"}'
npx @reneturcios/exitprobe --version

check_my_ip takes no argument; lookup_ip takes one JSON argument string. Output is the tool's result text (the upstream JSON profile). Exit codes: 0 on success, 1 on a runtime error (including a validation or upstream failure), 2 on a usage error.

Failures are reported plainly: a non-2xx upstream response is ipforai error: HTTP <status>, an unreachable upstream is ipforai unreachable, and a missing or empty ip argument is ip must be a non-empty string — checked before any request is made.

MCP server

npx -y @reneturcios/exitprobe mcp

MCP client config:

{
  "mcpServers": {
    "exitprobe": {
      "command": "npx",
      "args": ["-y", "@reneturcios/exitprobe", "mcp"]
    }
  }
}

Docker

docker run -i ghcr.io/cloudcorprecords/exitprobe
docker run --rm ghcr.io/cloudcorprecords/exitprobe lookup_ip '{"ip":"1.2.3.4"}'

Development

npm install
npm run build   # tsc -> dist/
npm test        # tsx --test test/*.test.ts (fake fetch only, no network)
npm run dev     # run the CLI from source

License

MIT — Copyright (c) 2026 Rene Turcios

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