AI Furniture & Home Product Hub - MCP Server
MCP serverSearchai-furniture-hub lets your AI search furniture with millimeter precision, so results match exact measurements. Once added, your AI can also run fit checks, pull up curated sets, and run AIO audits.
Use AI Furniture & Home Product Hub - MCP Server in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add AI Furniture & Home Product Hub - MCP Server and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use AI Furniture & Home Product Hub - MCP Server to search products
No key or account is asked for. Not verified by us yet: Ahel has not run a call through it.
Details
Available today. Use it from your connected AI after setup.
No key or account is asked for. Not verified by us yet: Ahel has not run a call through it.
After adding it, ask your AI to search for furniture or check whether a specific piece fits. The source code is available at github.com/one8943/ai-furniture-hub.
What your AI can do with it
- Search furniture with millimeter precision
- Run fit checks to confirm a piece fits
- Browse curated furniture sets
- Run AIO audits
Install AI Furniture & Home Product Hub - MCP Server
The server’s own address, for the clients that take one directly. Or connect Ahel once and every client you use reads it from one address, with the account kept on Ahel rather than in each client’s config.
Claude Code
claude mcp add --transport http --scope user ai-furniture-home-product-hub-mc 'https://ai-furniture-hub.onrender.com/mcp'Run it once in your project, then open /mcp to approve any sign-in the server asks for.
Claude Desktop
https://ai-furniture-hub.onrender.com/mcpAdd a custom connector in Settings, paste this address, and approve the sign-in.
Cursor
cursor://anysphere.cursor-deeplink/mcp/install?name=ai-furniture-home-product-hub-mc&config=eyJ1cmwiOiJodHRwczovL2FpLWZ1cm5pdHVyZS1odWIub25yZW5kZXIuY29tL21jcCJ9Open the link and Cursor adds the server at that address.
ChatGPT
https://ai-furniture-hub.onrender.com/mcpIn Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.
Codex
codex mcp add ai-furniture-home-product-hub-mc --url 'https://ai-furniture-hub.onrender.com/mcp'Run it once, then sign in with codex mcp login ai-furniture-home-product-hub-mc if the server asks for an account.
From the project's README
As published by one8943/ai-furniture-hub in README.md.
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
| 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.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
| 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 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.
Tools it offers (18)
What this server listed when Ahel dialed its public endpoint in Oct 2026, with no key and no account of yours. The names are the server’s own.
search_productsget_product_detailsearch_rakuten_productssearch_amazon_productscoordinate_storagesuggest_by_spacemeasure_from_photoidentify_productcompare_productsfind_replacementcalc_room_layoutlist_categoriesget_popular_productssummarize_demand_signalsfind_product_gapsget_related_itemsdiagnose_ai_visibilityget_curated_sets
Signals
- GitHub stars
- 1
- Forks
- 1
- Last commit
- Apr 2026
- Weekly_downloads
- 108 weekly_downloads
Advanced
- Delivery
- ai-furniture-hub MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
- Item type
- mcp-server
- Key
io-github-one8943-ai-furniture-hub- Source
- github.com/one8943/ai-furniture-hub
- Hosted endpoint
https://ai-furniture-hub.onrender.com/mcp
github.com/one8943/ai-furniture-hub