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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

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

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

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.

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