Scrape any URL into clean LLM-ready Markdown, or crawl a whole site.
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com.goaimoat/outreach-tracker is an MCP server that scrape any URL into clean LLM-ready Markdown, or crawl a whole site. Its tool list has not been published yet over http, requires no API key, and scores 65/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
https://tracker.mcp.goaimoat.com/mcpRemote servers are added as connectors, not in claude_desktop_config.json, which is for local servers.
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Scrape any URL into clean LLM-ready Markdown, or crawl a whole site.
This server supports HTTP transport. Be the first to test it - help the community know if it works.
Five weighted categories - click any category to see the underlying evidence.
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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.