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ONE8943

ai-furniture-hub

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MCP server for AI agents: 15 tools, 300+ products, 31 categories. mm-precision furniture search, curated sets, replacement finder with fit_score, AI visibility diagnosis, OpenAPI 3.1, Rakuten live API. Japan home & lifestyle hub.

1 stars TypeScriptOthers Updated Jul 5, 2026
affiliateaifurniturellms-txtmcpmcp-servermodel-context-protocolrakutensmart-homeai-agentaiocuratede-commercehome-automationjapanopenapiproduct-search

Documentation

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:

json
{
  "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)

bash
npx ai-furniture-hub

Option 3: Clone & Run

bash
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_products`Search 300+ products by keyword, dimensions (mm), price, color, category, brand
`get_product_detail`Full specs: inner dimensions, consumables, compatible storage, curations
`search_rakuten_products`Real-time Rakuten Ichiba search (200K+ listings with prices & reviews)
`search_amazon_products`Amazon affiliate search URL generation with auto SearchIndex
`suggest_by_space`"I have a 600x400mm space" -> everything that fits, rotation-aware
`identify_product`Visual description -> product candidates with model numbers

Coordination & Comparison

ToolWhat It Does
`coordinate_storage`Shelf + storage box set proposals: quantity per tier, total cost
`compare_products`Side-by-side comparison (2-5 products) on price, size, load, reviews
`find_replacement`Discontinued model -> successors + dimension-compatible alternatives with `fit_score`
`calc_room_layout`Floor-plan rectangle packing with placement coordinates
`get_related_items`Accessory chains: required items, protection, consumables, hack substitutes (depth 1-2)

Curation & Intelligence

ToolWhat It Does
`get_curated_sets`Bundles, room presets, influencer picks, hack sets. Filter by type/scene/budget
`get_popular_products`Trending products by category with Rakuten data
`list_categories`Browse 31 categories with counts, brands, samples
`diagnose_ai_visibility`AI visibility audit: llms.txt, robots.txt, JSON-LD, OGP, score 0-100

Prompt Workflows (3)

PromptFlow
`room_coordinator`Space dimensions -> shelf + boxes + protection with quantities & cost
`moving_checklist`Floor plan type -> room-by-room purchasing checklist with budget
`product_showdown`Two 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

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.

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

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

Architecture

code
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_MODE`No`private` (default, affiliate ON) or `public` (affiliate OFF for marketplace)
`MCP_API_KEYS_FREE`NoComma-separated free-tier API keys for higher rate limits + curated inner dimensions
`MCP_API_KEYS_PRO`NoComma-separated pro-tier API keys for unlimited access
`INNER_DIMENSIONS_DATA`Render onlyHidden curated inner-dimension DB injected at build time
`AFFILIATE_ID_AMAZON`NoAmazon Associate tag
`AFFILIATE_ID_RAKUTEN`NoRakuten Affiliate ID
`RAKUTEN_APP_ID`NoRakuten API Application ID
`RAKUTEN_API_MOCK`No`true` (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 Registry`io.github.ONE8943/ai-furniture-hub`
Render`https://ai-furniture-hub.onrender.com/mcp`
npm`npx ai-furniture-hub`

Testing

bash
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.

Frequently asked questions

What is ai-furniture-hub?

ai-furniture-hub is MCP server for AI agents: 15 tools, 300+ products, 31 categories. mm-precision furniture search, curated sets, replacement finder with fit_score, AI visibility diagnosis, OpenAPI 3.1, Rakuten live API. Japan home & lifestyle hub.

How do I install ai-furniture-hub?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is ai-furniture-hub open source?

Yes — it is hosted on GitHub at https://github.com/ONE8943/ai-furniture-hub and has 1 stars.

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