ai-furniture-hub
The AI Furniture & Home Product Hub MCP server gives AI agents 15 tools to search, compare, coordinate, and recommend furniture and home products (355+ products, 31 categories, 90+ brands), plus structured prompts and AI visibility diagnostics.
Search & Discovery
search_products: Search by keyword, dimensions (mm), price, color, category, or brandget_product_detail: Full specs — inner dimensions, materials, stock status, consumables, affiliate linkssearch_rakuten_products: Real-time Rakuten Ichiba listings with live prices, reviews, and imagessearch_amazon_products: Generate Amazon affiliate search URLs with automatic category selectionsuggest_by_space: Input room/space dimensions and get all fitting products (rotation-aware)identify_product: Describe visual features to identify model numbers, inner dimensions, and compatible accessories
Coordination & Comparison
coordinate_storage: Propose shelf + storage box combinations with quantity-per-tier and total cost calculationscompare_products: Side-by-side comparison of 2–5 products on price, size, reviews, and load capacityfind_replacement: Find successors/alternatives for discontinued products with afit_score(0–100)calc_room_layout: Simulate furniture placement in a room with coordinates via rectangle packingget_related_items: Discover accessory chains — required accessories, protection materials, and consumables
Curation & Intelligence
get_curated_sets: Browse bundles, room presets, influencer picks, and budget hack sets filtered by type, scene, or budgetget_popular_products: Trending products by category or brand, including Rakuten ranking datalist_categories: All 31 categories with product counts, brand lists, and sample itemsdiagnose_ai_visibility: Audit any website's AI discoverability (checks llms.txt, robots.txt, JSON-LD, OGP tags) — returns a score (0–100), grade (A–F), and recommendations
Structured Prompts
room_coordinator: Full room setup (shelf, boxes, protection) based on space dimensionsmoving_checklist: Room-by-room purchasing checklist based on floor plan typeproduct_showdown: Detailed comparison including accessories and running costs
All results include affiliate URLs for monetization. The server supports MCP (stdio/HTTP), OpenAPI 3.1, Japanese UI, and cross-border readiness checks.
Provides Amazon affiliate search URL generation with auto SearchIndex through the search_amazon_products tool, enabling AI agents to find and recommend Amazon products with affiliate tracking.
Available as an npm package (ai-furniture-hub) for local installation and execution via npx, providing easy distribution and version management through the npm registry.
Enables real-time Rakuten Ichiba search through the search_rakuten_products tool, providing access to 200K+ listings with prices and reviews, and supports Rakuten affiliate integration for revenue attribution.
Supports deployment on Render platform with a hosted endpoint available at https://ai-furniture-hub.onrender.com/mcp for remote MCP connections without local installation.
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-hubRemote MCP endpoint:
https://ai-furniture-hub.onrender.com/mcpWell-known discovery:
https://ai-furniture-hub.onrender.com/.well-known/mcp.jsonnpm 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.
Related MCP server: KaliCart Global
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 300+ products by keyword, dimensions (mm), price, color, category, brand |
| Full specs: inner dimensions, consumables, compatible storage, curations |
| Real-time Rakuten Ichiba search (200K+ listings with prices & reviews) |
| Amazon affiliate search URL generation with auto SearchIndex |
| "I have a 600x400mm space" -> everything that fits, rotation-aware |
| Visual description -> product candidates with model numbers |
Coordination & Comparison
Tool | What It Does |
| Shelf + storage box set proposals: quantity per tier, total cost |
| Side-by-side comparison (2-5 products) on price, size, load, reviews |
| Discontinued model -> successors + dimension-compatible alternatives with |
| Floor-plan rectangle packing with placement coordinates |
| Accessory chains: required items, protection, consumables, hack substitutes (depth 1-2) |
Curation & Intelligence
Tool | What It Does |
| Bundles, room presets, influencer picks, hack sets. Filter by type/scene/budget |
| Trending products by category with Rakuten data |
| Browse 31 categories with counts, brands, samples |
| AI visibility audit: llms.txt, robots.txt, JSON-LD, OGP, score 0-100 |
Prompt Workflows (3)
Prompt | Flow |
| Space dimensions -> shelf + boxes + protection with quantities & cost |
| Floor plan type -> room-by-room purchasing checklist with budget |
| 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 | AI agent overview | |
llms-full.txt | Full tool schemas & examples | |
OpenAPI | REST API specification | |
Server Card | Machine-readable metadata | |
context.md | Structured AI context | |
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 |
| No |
|
| No | Comma-separated free-tier API keys for higher rate limits + curated inner dimensions |
| No | Comma-separated pro-tier API keys for unlimited access |
| Render only | Hidden curated inner-dimension DB injected at build time |
| No | Amazon Associate tag |
| No | Rakuten Affiliate ID |
| No | Rakuten API Application ID |
| No |
|
All environment variables are optional. The server works out of the box with mock data.
Deployment
Platform | URL |
MCP Registry |
|
Render |
|
npm |
|
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/mcpwell-known:
https://ai-furniture-hub.onrender.com/.well-known/mcp.json355+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.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
- FlicenseNot gradedqualityBmaintenanceMCP server to search Rakuten Ichiba (Japan's largest e-commerce platform) for products, returning names, prices, URLs, shop info, reviews, and images via the official Rakuten API.
- FlicenseNot gradedqualityCmaintenanceFederated commerce search MCP server enabling AI agents to query real product offers, prices, and availability across independent WooCommerce stores without API keys or registration.
- AlicenseNot gradedqualityBmaintenanceMCP server that enables AI shopping assistants to understand customer needs, search products using visual and semantic queries, apply metadata filters, and recommend relevant products from an inventory.Apache 2.0
- FlicenseAqualityCmaintenanceA local AI shopping MCP server for Amazon.co.jp that searches products, adds them to cart, and opens the review page without automating purchase confirmation. It keeps your Amazon login confined to your machine's Chrome profile.5
Related MCP Connectors
Agent-native product catalog for AI shopping agents. 296M+ products, 28 countries.
Pocket Agent (aipocketagent.com) MCP server — read tools for personas, apps, and product info.
MCP server for Japan geodata: cadastral lot numbers (chiban) and reverse geocoding, for AI agents.
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/ONE8943/ai-furniture-hub'
If you have feedback or need assistance with the MCP directory API, please join our Discord server