GoAI Moat — MCP Servers
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.
Why
Buyers stopped searching — they ask AI. Being "cited by AI" is replacing "ranking #1":
- 65–68% of Google searches end without a click;
- brands cited by AI earn ~35% more organic clicks and ~91% more paid clicks;
- AI-referred visitors convert at 14.2% vs 2.8% for organic (≈5×).
The 13 servers
Architecture
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)
Open Core
The server code here is open source (MIT). The hosted endpoints and premium data are paid:
- Hosted: point any MCP client at
https://mcp.goaimoat.com/mcp(free tier = 1 audit/email). - Premium: unlimited audits + data reveal (decision-maker emails) via license — see goaimoat.com/mcp-catalog.html.
License
MIT — build on it, but the hosted service and proprietary data remain GoAI Moat's.