Selleys: Multi Purpose Cleaner

Multi Purpose Cleaner

AI Agent Access

This page is available as structured data for AI agents. All resources are static files served from Cloudflare's edge network with 24-hour caching.

Direct HTTP Access

Fetch any resource directly with standard HTTP:

curl https://directory.selleys.com.au/cleaning/multi-purpose-cleaner/index.json      # Structured data
curl https://directory.selleys.com.au/cleaning/multi-purpose-cleaner/index.jsonld    # Schema.org linked data
curl https://directory.selleys.com.au/cleaning/multi-purpose-cleaner/index.md        # LLM-friendly text
curl https://directory.selleys.com.au/cleaning/multi-purpose-cleaner/mcp.json        # MCP manifest

MCP Client Configuration

Connect your AI agent to this page's MCP server endpoint:

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "directory": {
      "type": "http",
      "url": "https://directory.selleys.com.au/cleaning/multi-purpose-cleaner/public-mcp"
    }
  }
}

ChatGPT

In ChatGPT, go to Settings → Connectors → Create and enter:

Name: directory
URL:  https://directory.selleys.com.au/cleaning/multi-purpose-cleaner/public-mcp

OpenAI MCP docs →

Gemini

Add to Gemini CLI settings.json:

{
  "mcpServers": {
    "directory": {
      "httpUrl": "https://directory.selleys.com.au/cleaning/multi-purpose-cleaner/public-mcp"
    }
  }
}

Claude Code

claude mcp add directory \
  --transport http https://directory.selleys.com.au/cleaning/multi-purpose-cleaner/public-mcp

How it works

Each page is pre-rendered in multiple formats and published to Cloudflare R2. The MCP server speaks JSON-RPC 2.0 over Streamable HTTP, backed by edge-cached resources from 300+ locations worldwide.

Protocol: MCP 2025-03-26 (Streamable HTTP + Legacy SSE)
Caching: Workers KV manifests (24h) + edge-cached content (1h)
Authentication: None required — public read-only access