ai-furniture-hub
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.
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.
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-hubOption 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/mcpTools (15)
Search & Discovery
| Tool | What 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
| Tool | What 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
| Tool | What 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)
| Prompt | Flow |
|---|---|
| `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)
| Area | Categories |
|---|---|
| Storage | Shelves, Color boxes, Storage cases, Clothing storage, Steel racks, Closet storage, File storage |
| Furniture | Desks, TV stands, Bookshelves, Dining, Sofas & chairs, Bedding |
| Room-specific | Kitchen, Laundry, Bath, Entrance, Baby safety |
| Hardware | Tension rods, Protection materials, Parts & accessories, Wagons |
| Appliances | Home appliances, Kitchen appliances, Air quality, Smart home |
| Tech & Lifestyle | PC peripherals, Beauty devices, Gadgets, Health & fitness |
| Decor | Curtains & 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
| File | URL | Purpose |
|---|---|---|
| llms.txt | /llms.txt | AI agent overview |
| llms-full.txt | /llms-full.txt | Full tool schemas & examples |
| OpenAPI | /openapi.yaml | REST API specification |
| Server Card | /.well-known/mcp/server-card.json | Machine-readable metadata |
| context.md | /context.md | Structured AI context |
| robots.txt | /robots.txt | AI crawler permissions |
MCP Resources
furniture-hub://llms.txt
furniture-hub://llms-full.txtArchitecture
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.txtEnvironment Variables
| Variable | Required | Description |
|---|---|---|
| `DEPLOYMENT_MODE` | No | `private` (default, affiliate ON) or `public` (affiliate OFF for marketplace) |
| `MCP_API_KEYS_FREE` | No | Comma-separated free-tier API keys for higher rate limits + curated inner dimensions |
| `MCP_API_KEYS_PRO` | No | Comma-separated pro-tier API keys for unlimited access |
| `INNER_DIMENSIONS_DATA` | Render only | Hidden curated inner-dimension DB injected at build time |
| `AFFILIATE_ID_AMAZON` | No | Amazon Associate tag |
| `AFFILIATE_ID_RAKUTEN` | No | Rakuten Affiliate ID |
| `RAKUTEN_APP_ID` | No | Rakuten 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
| Platform | URL |
|---|---|
| MCP Registry | `io.github.ONE8943/ai-furniture-hub` |
| Render | `https://ai-furniture-hub.onrender.com/mcp` |
| npm | `npx ai-furniture-hub` |
Testing
npm run test:ci # Vitest
npm run test:all # Full legacy suiteContributing
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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