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Goaimoat Ai Visibility MCP Server

Developer ToolsUse Caution2.2MCP RegistryLocalRemote
Free

Server data from the Official MCP Registry

Platform playbooks, rolling content calendars and video hooks for cross-border sellers

About

Platform playbooks, rolling content calendars and video hooks for cross-border sellers

Remote endpoints: streamable-http: https://social.mcp.goaimoat.com/mcp

Security Report

2.2
Use Caution2.2Critical Risk

This MCP server implements an AI visibility audit tool with reasonable purpose-aligned permissions (network_http, env_vars, subprocess for API calls). However, there are several security concerns: (1) subprocess calls execute shell commands without validation or quoting, creating injection risks; (2) API credentials are loaded from a shared user secrets file without proper isolation; (3) external service calls (Monid, Perplexity, OpenAI proxies) could leak sensitive request data; (4) the license system uses weak validation (string prefix check only) and stores quota state in plaintext JSON. While not malicious, these issues expose the server to credential leakage and command injection. Supply chain analysis found 5 known vulnerabilities in dependencies (1 critical, 3 high severity).

4 files analyzed · 15 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.

env_vars

Check that this permission is expected for this type of plugin.

subprocess

Check that this permission is expected for this type of plugin.

File System Read

Reads files on your machine. Normal for tools that analyze or process local data.

File System Write

Writes or modifies files on your machine. Check that this is expected for the tool.

How to Install & Connect

Available as Local & Remote

This plugin can run on your machine or connect to a hosted endpoint. during install.

Documentation

View on GitHub

From the project's GitHub README.

GoAI Moat — AI Visibility MCP

Multi-model AI visibility audit for any website or brand. Asks ChatGPT (consumer app), Perplexity, and Grok what they actually know about a brand, scans the site for GEO/SEO health, and returns a 0–100 score with a benchmark percentile.

What it does

  • audit_ai_visibility(url) — full audit: multi-model AI mentions + GEO/SEO health + 0–100 score + benchmark percentile + prioritized issues.
  • check_ai_mentions(brand) — quick check: what ChatGPT / Perplexity / Grok say about a brand.

Why pay for this

Most "AI visibility" tools only check your website. This MCP checks what AI models actually say about the brand — the ground truth of whether AI will mention, recommend, or ignore you. The benchmark percentile (vs. 500+ cross-border brands) is data you can't get by calling an LLM yourself.

Pricing

  • Free: 3 audits per email.
  • Subscription: $98/month — 10 audits/day, 100 audits/month.
  • Activate via check_license(license_key, email).

Run locally (stdio)

pip install -r requirements.txt
python server.py

No credentials are required to start the server (introspection works). Credentials (MONID_API_KEY, SERPER_API_KEY, GROK_API_KEY, PERPLEXITY_API_KEY) are only needed at call time — the tool returns a clear error if they are missing.

Hosted endpoint

https://ai-visibility.mcp.goaimoat.com/mcp

License

MIT

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