About GoAI Moat Web Scrape
GoAI Moat Web Scrape is described as a tool for turning URLs into clean Markdown and crawling sites. It is intended for AI agents that need web content in an LLM-ready format.
Key features
- 01Convert URLs to clean Markdown
- 02Crawl entire websites
Use cases
- 01Prepare a page for LLM processing
- 02Collect content across a website
MCP support
The README does not describe this specific scraper's MCP interface.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://scrape.mcp.goaimoat.com/mcpclaude mcp add --transport http com-goaimoat-web-scrape https://scrape.mcp.goaimoat.com/mcp{"mcpServers":{"com-goaimoat-web-scrape":{"type":"http","url":"https://scrape.mcp.goaimoat.com/mcp"}}}Open in Cursor{"servers":{"com-goaimoat-web-scrape":{"type":"http","url":"https://scrape.mcp.goaimoat.com/mcp"}}}Open in VS Code{"mcpServers":{"com-goaimoat-web-scrape":{"type":"http","url":"https://scrape.mcp.goaimoat.com/mcp"}}}{"mcpServers":{"com-goaimoat-web-scrape":{"serverUrl":"https://scrape.mcp.goaimoat.com/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project READMEGoAI 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
| 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 |
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.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.