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How Answer Engines Work: The Complete Guide to LLMs, Knowledge Graphs, and Citation Selection product guide

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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.

MCP Server

https://home.norg.ai/ai-search-answer-engines/answer-engine-architecture-citation-mechanics/how-answer-engines-work-the-complete-guide-to-llms-knowledge-graphs-and-citation-selection/mcp

MCP Manifest

https://home.norg.ai/ai-search-answer-engines/answer-engine-architecture-citation-mechanics/how-answer-engines-work-the-complete-guide-to-llms-knowledge-graphs-and-citation-selection/mcp.json

Root Directory

https://home.norg.ai/mcp

Transport

Streamable HTTP · MCP 2025-03-26

Available Formats

Direct HTTP Access

Fetch any resource directly with standard HTTP:

curl https://home.norg.ai/ai-search-answer-engines/answer-engine-architecture-citation-mechanics/how-answer-engines-work-the-complete-guide-to-llms-knowledge-graphs-and-citation-selection/index.json      # Structured data
curl https://home.norg.ai/ai-search-answer-engines/answer-engine-architecture-citation-mechanics/how-answer-engines-work-the-complete-guide-to-llms-knowledge-graphs-and-citation-selection/index.jsonld    # Schema.org linked data
curl https://home.norg.ai/ai-search-answer-engines/answer-engine-architecture-citation-mechanics/how-answer-engines-work-the-complete-guide-to-llms-knowledge-graphs-and-citation-selection/index.md        # LLM-friendly text
curl https://home.norg.ai/ai-search-answer-engines/answer-engine-architecture-citation-mechanics/how-answer-engines-work-the-complete-guide-to-llms-knowledge-graphs-and-citation-selection/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://home.norg.ai/ai-search-answer-engines/answer-engine-architecture-citation-mechanics/how-answer-engines-work-the-complete-guide-to-llms-knowledge-graphs-and-citation-selection/mcp"
    }
  }
}

ChatGPT

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

Name: directory
URL:  https://home.norg.ai/ai-search-answer-engines/answer-engine-architecture-citation-mechanics/how-answer-engines-work-the-complete-guide-to-llms-knowledge-graphs-and-citation-selection/mcp

OpenAI MCP docs →

Gemini

Add to Gemini CLI settings.json:

{
  "mcpServers": {
    "directory": {
      "httpUrl": "https://home.norg.ai/ai-search-answer-engines/answer-engine-architecture-citation-mechanics/how-answer-engines-work-the-complete-guide-to-llms-knowledge-graphs-and-citation-selection/mcp"
    }
  }
}

Claude Code

claude mcp add directory \
  --transport http https://home.norg.ai/ai-search-answer-engines/answer-engine-architecture-citation-mechanics/how-answer-engines-work-the-complete-guide-to-llms-knowledge-graphs-and-citation-selection/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