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MackRobertson

For AI agents & developers

The MackRobertson MCP

MackRobertson runs a public Model Context Protocol server. Point any MCP-capable AI agent at it and ask beach-gear or coastal-fishing questions in plain language — it searches our entire knowledge base and returns the most relevant reviews, GearScore™rankings, head-to-head comparisons, how-to guides, and community Q&A, each with source links back to the page.

The endpoint

Streamable HTTP. Public, no authentication. Rate limited to 120 requests per minute.

https://TODO-configure.search.ai.cloudflare.com/mcp

What it can answer

The server indexes the whole site — every beach-shade review, head-to-head comparison and ranked best-of list, plus our how-to guides, news and community intel — and stays in sync automatically as the site updates. Every answer is grounded in the published GearScore™ methodology.

Connect your client

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "mackrobertson": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://TODO-configure.search.ai.cloudflare.com/mcp"]
    }
  }
}

Cursor

Add to ~/.cursor/mcp.json (Cursor supports remote URLs directly):

{
  "mcpServers": {
    "mackrobertson": {
      "url": "https://TODO-configure.search.ai.cloudflare.com/mcp"
    }
  }
}

Any remote-MCP client / Cloudflare AI Playground

Paste the endpoint URL into any client that supports remote MCP over streamable HTTP (for a no-install test, use the Cloudflare AI Playground and add the URL under MCP Servers).

The tool

The server exposes one tool, search, which takes a natural-language query and returns ranked, source-linked content. Example prompts once connected:

  • “What’s the best beach shade for a family of four under $150?”
  • “Compare the Sun Ninja 4-person and the Neso Grande.”
  • “Which shade holds up best in a stiff sea breeze, and why?”
  • “What do owners actually say about the Shibumi canopy?”

Good to know

  • Free and open. No key, no sign-up. The machine-readable server card lives at /.well-known/mcp/server-card.json.
  • It retrieves; you decide. The server surfaces ranked options and evidence — it never buys anything or makes the call for you. Purchase decisions stay yours.
  • Always current. The index re-syncs from our sitemap, so answers reflect the live site.
  • Open source. Reference implementation, companion skill, and connect docs: github.com/automationsquadhq/mackrobertson-mcp.