AI Agent Access

No auth · edge-cached

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.

MCP Server: https://cht.agentic.norg.ai/referrals-terri-rsa-course-list/mcp
MCP Manifest: https://cht.agentic.norg.ai/referrals-terri-rsa-course-list/mcp.json
Transport: Streamable HTTP · MCP 2025-03-26
WebMCP: navigator.modelContext tools (Chrome 146+)

Direct HTTP Access

Fetch any resource directly with standard HTTP:

curl https://cht.agentic.norg.ai/referrals-terri-rsa-course-list/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": {
    "cht.edu.au": {
      "type": "http",
      "url": "https://cht.agentic.norg.ai/referrals-terri-rsa-course-list/mcp"
    }
  }
}

ChatGPT

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

Name: cht.edu.au
URL:  https://cht.agentic.norg.ai/referrals-terri-rsa-course-list/mcp

OpenAI MCP docs →

Gemini

Add to Gemini CLI settings.json:

{
  "mcpServers": {
    "cht.edu.au": {
      "httpUrl": "https://cht.agentic.norg.ai/referrals-terri-rsa-course-list/mcp"
    }
  }
}

Claude Code

claude mcp add cht.edu.au \
  --transport http https://cht.agentic.norg.ai/referrals-terri-rsa-course-list/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