AI Furniture & Home Product Hub - MCP Server

15 tools | 355+ curated products | 31 categories | 90+ brands Millimeter-precision search, curated sets, AI visibility diagnosis, OpenAPI 3.1 schema. Built for ChatGPT, Claude, Gemini, Cursor, Perplexity, and any MCP-compatible AI agent.

Discovery & Install

• MCP Registry name: io.github.ONE8943/ai-furniture-hub
• Remote MCP endpoint: https://ai-furniture-hub.onrender.com/mcp
• Well-known discovery: https://ai-furniture-hub.onrender.com/.well-known/mcp.json
• npm package: ai-furniture-hub

If your MCP client supports registry search, search for io.github.ONE8943/ai-furniture-hub or AI Furniture & Home Product Hub. If your client supports direct remote MCP, connect it to https://ai-furniture-hub.onrender.com/mcp.

Why This Exists

AI agents need structured, machine-optimized product data to make useful recommendations. This MCP server provides:

• Exact-fit search: "Find a shelf that fits a 425mm gap" returns products with 1mm accuracy
• Complete solutions: One search returns the shelf + matching storage boxes + floor protection + cable organizers
• Curated by experts: Influencer picks, room presets, bundle deals, and budget hack alternatives
• Replacement intelligence: Discontinued product? Get successors ranked by dimension compatibility (fit_score 0-100)
• AI visibility consulting: Diagnose any website's AI discoverability with a single tool call

Quick Start

Option 1: Remote (Cursor / Claude / VS Code / ChatGPT)

Connect directly to the hosted server:

{
  "mcpServers": {
    "furniture-hub": {
      "url": "https://ai-furniture-hub.onrender.com/mcp"
    }
  }
}

Works in any MCP client that accepts a remote Streamable HTTP URL.

Option 2: npx (local)

npx ai-furniture-hub

Option 3: Clone & Run

git clone https://github.com/ONE8943/ai-furniture-hub.git
cd ai-furniture-hub
npm install
cp .env.example .env   # API keys optional - works with mock data
npm start               # stdio mode
npm run start:http      # HTTP mode at localhost:3000/mcp

Tools (15)

Search & Discovery

Coordination & Comparison

Curation & Intelligence

Prompt Workflows (3)

Product Categories (31)

Key Features

Cinderella-Fit Search

All dimensions in millimeters - outer AND inner. Find products that fit a specific space with 1mm tolerance. Rotation-aware: automatically checks if swapping width/depth creates a fit.

Related-Item Chains

Every product links to 3-5 related items: required accessories (HEPA filters for air purifiers), protection materials (floor mats for heavy shelves), consumables (vacuum bags), compatible storage boxes.

Curated Sets

• Bundles: "New Life Starter Kit", "Work From Home Set"
• Room Presets: IKEA-style complete room configurations
• Influencer Picks: Real recommendations from YouTubers and magazines
• Hack Sets: Budget alternatives (100-yen substitutes for 1000-yen accessories)

Dimension-Compatible Replacement

Discontinued product? find_replacement returns:

• DB-registered successors
• Dimension-compatible alternatives with fit_score (0-100)
• Live Rakuten search results

AI Visibility Diagnosis (AIO)

diagnose_ai_visibility audits any URL:

• llms.txt presence
• robots.txt AI crawler access
• Structured data (JSON-LD, Schema.org)
• OGP tags
• Cross-border readiness (English metadata, multi-currency)
• Returns score (0-100), grade (A-F), actionable recommendations

Attribution & Analytics

Every API response includes _attribution metadata with a unique attribution_id, enabling:

• Per-call tracking for pay-per-call monetization
• Source detection (Apify, RapidAPI, direct)
• Contribution logging for revenue attribution

API & Integration

OpenAPI 3.1 Schema

Full OpenAPI spec available at /openapi.yaml for RapidAPI and marketplace integration.

AI Discovery Endpoints

MCP Resources

furniture-hub://llms.txt
furniture-hub://llms-full.txt

Architecture

AI Agent (ChatGPT, Claude, Gemini, Cursor, Perplexity, ...)
    | MCP (stdio or Streamable HTTP)
    v
+-----------------------------------------------------------+
|  15 Tools + 3 Prompts                                     |
+-----------------------------------------------------------+
|  355+ Products | 31 Categories | 90+ Brands               |
|  Curated Sets: bundles, room presets, influencer picks     |
|  Compatibility DB: dimension-based fit scoring             |
|  Attribution: per-request tracking with attribution_id     |
+-----------------------------------------------------------+
|  Adapters: Rakuten API / Amazon URL / Nitori               |
|  Affiliate Engine + Gap Detector + Analytics               |
+-----------------------------------------------------------+
    |
    v
  /llms.txt        /llms-full.txt        /openapi.yaml
  /context.md      /.well-known/mcp/     /robots.txt

Environment Variables

All environment variables are optional. The server works out of the box with mock data.

Deployment

Testing

npm run test:ci      # Vitest
npm run test:all     # Full legacy suite

Contributing

Issues and PRs welcome. See GitHub Issues.

License

MIT