AI Furniture Hub

Japan-focused MCP server with 15 tools for mm-precision product search across 300+ items and 31 categories. Curated sets, dimension-compatible replacements, AI visibility diagnosis.

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.

CI npm License: MIT

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

ToolWhat It Does
search_productsSearch 300+ products by keyword, dimensions (mm), price, color, category, brand
get_product_detailFull specs: inner dimensions, consumables, compatible storage, curations
search_rakuten_productsReal-time Rakuten Ichiba search (200K+ listings with prices & reviews)
search_amazon_productsAmazon affiliate search URL generation with auto SearchIndex
suggest_by_space"I have a 600x400mm space" -> everything that fits, rotation-aware
identify_productVisual description -> product candidates with model numbers

Coordination & Comparison

ToolWhat It Does
coordinate_storageShelf + storage box set proposals: quantity per tier, total cost
compare_productsSide-by-side comparison (2-5 products) on price, size, load, reviews
find_replacementDiscontinued model -> successors + dimension-compatible alternatives with fit_score
calc_room_layoutFloor-plan rectangle packing with placement coordinates
get_related_itemsAccessory chains: required items, protection, consumables, hack substitutes (depth 1-2)

Curation & Intelligence

ToolWhat It Does
get_curated_setsBundles, room presets, influencer picks, hack sets. Filter by type/scene/budget
get_popular_productsTrending products by category with Rakuten data
list_categoriesBrowse 31 categories with counts, brands, samples
diagnose_ai_visibilityAI visibility audit: llms.txt, robots.txt, JSON-LD, OGP, score 0-100

Prompt Workflows (3)

PromptFlow
room_coordinatorSpace dimensions -> shelf + boxes + protection with quantities & cost
moving_checklistFloor plan type -> room-by-room purchasing checklist with budget
product_showdownTwo products -> full comparison including accessories & running costs

Product Categories (31)

AreaCategories
StorageShelves, Color boxes, Storage cases, Clothing storage, Steel racks, Closet storage, File storage
FurnitureDesks, TV stands, Bookshelves, Dining, Sofas & chairs, Bedding
Room-specificKitchen, Laundry, Bath, Entrance, Baby safety
HardwareTension rods, Protection materials, Parts & accessories, Wagons
AppliancesHome appliances, Kitchen appliances, Air quality, Smart home
Tech & LifestylePC peripherals, Beauty devices, Gadgets, Health & fitness
DecorCurtains & blinds

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

FileURLPurpose
llms.txt/llms.txtAI agent overview
llms-full.txt/llms-full.txtFull tool schemas & examples
OpenAPI/openapi.yamlREST API specification
Server Card/.well-known/mcp/server-card.jsonMachine-readable metadata
context.md/context.mdStructured AI context
robots.txt/robots.txtAI crawler permissions

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

VariableRequiredDescription
DEPLOYMENT_MODENoprivate (default, affiliate ON) or public (affiliate OFF for marketplace)
MCP_API_KEYS_FREENoComma-separated free-tier API keys for higher rate limits + curated inner dimensions
MCP_API_KEYS_PRONoComma-separated pro-tier API keys for unlimited access
INNER_DIMENSIONS_DATARender onlyHidden curated inner-dimension DB injected at build time
AFFILIATE_ID_AMAZONNoAmazon Associate tag
AFFILIATE_ID_RAKUTENNoRakuten Affiliate ID
RAKUTEN_APP_IDNoRakuten API Application ID
RAKUTEN_API_MOCKNotrue (default) for mock data, false for live

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

Deployment

PlatformURL
MCP Registryio.github.ONE8943/ai-furniture-hub
Renderhttps://ai-furniture-hub.onrender.com/mcp
npmnpx ai-furniture-hub

Testing

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

Contributing

Issues and PRs welcome. See GitHub Issues.

License

MIT


Japanese / 日本語

AI Furniture & Home Product Hub は家具・家電・ガジェット等のAIエージェント向けMCPサーバーです。

  • MCP Registry名: io.github.ONE8943/ai-furniture-hub

  • リモート接続URL: https://ai-furniture-hub.onrender.com/mcp

  • well-known: https://ai-furniture-hub.onrender.com/.well-known/mcp.json

  • 355+商品、31カテゴリ、90+ブランド のキュレーション済みカタログ

  • mm精度の寸法検索 - 「幅425mmの隙間にぴったり収まる棚」を即座に発見

  • 関連アイテムチェーン - 1商品から3-5個の関連商品(必須アクセサリ、保護材、消耗品)

  • キュレーション - バンドル提案、ルームプリセット、インフルエンサーおすすめ、100均代用ハック

  • 後継品検索 - 廃番商品から寸法互換の代替品をfit_scoreで提案

  • AI可視性診断(AIO) - Webサイトの「AIからの見え方」を0-100でスコアリング

  • OpenAPI 3.1 - RapidAPI等のマーケットプレイス連携対応

運営

ONE, Inc.

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