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Company profile lookup and B2B company search for AI agents.
From the repo.
13 Model Context Protocol (MCP) servers that give AI agents the ability to audit "AI visibility", detect competitor AI adoption, and serve cross-border e-commerce teams. All listed under com.goaimoat/* on the official MCP Registry.
Being good is no longer enough — you have to be sayable by AI. These tools make that measurable.
Buyers stopped searching — they ask AI. Being "cited by AI" is replacing "ranking #1":
| Server | Registry ID | What it does |
|---|---|---|
| AI Visibility Audit | com.goaimoat/ai-visibility | Score a brand's AI visibility 0-30 + 30-point checklist + fix priority |
| Competitor AI Signals | com.goaimoat/competitor-signals | 7 public signals + TSI score to detect a company's quiet AI adoption |
| Market Intel Brief | com.goaimoat/market-intel-brief | Search a weekly verified cross-border × AI intelligence library |
| Decision-Maker Lookup | com.goaimoat/decision-maker-lookup | Find B2B decision makers and verify work emails |
| AI Content Studio | com.goaimoat/content-studio | Bilingual (EN/ZH) cross-border content generation |
| Brand Intel Memory | com.goaimoat/brand-intel-memory | Persistent business-intelligence memory for agents |
| Cross-border Profit | com.goaimoat/cross-border-profit | Calculate cross-border e-commerce cost & profit |
| Export Compliance | com.goaimoat/export-compliance | Export compliance checks (HS codes, restrictions) |
| IP Brand Protection | com.goaimoat/ip-brand-protection | Brand/IP protection guidance |
| Pricing Strategy | com.goaimoat/pricing-strategy | Pricing strategy for cross-border sellers |
| Product Selection | com.goaimoat/product-selection | Cross-border product selection research |
| Review Intelligence | com.goaimoat/review-intelligence | Customer review intelligence |
| Social Media Strategy | com.goaimoat/social-media-strategy | Social media strategy for brands |
Each server is a ~80-line FastMCP app over streamable HTTP:
from fastmcp import FastMCP
mcp = FastMCP(name="GoAI Moat — ...")
@mcp.tool()
def score_brand(brand: str, category: str) -> dict:
"""Score a brand's AI visibility 0-30 across 5 categories."""
...
mcp.run(transport="streamable-http", host="127.0.0.1", port=8000)
The server code here is open source (MIT). The hosted endpoints and premium data are paid:
https://mcp.goaimoat.com/mcp (free tier = 1 audit/email).MIT — build on it, but the hosted service and proprietary data remain GoAI Moat's.
Use the endpoint URL below in your config. No API key — you connect directly.
Tool
OS
Config file: ~/.cursor/mcp.json
{
"mcpServers": {
"mcp-server": {
"url": "https://company.mcp.goaimoat.com/mcp"
}
}
}Paste into mcpServers in the config file. Restart Cursor after saving.
If this MCP is also published on mcpchannel.ai, you can subscribe from Browse and use the gateway config there instead.