Server data from the Official MCP Registry
MCP server for mm-precision furniture search, fit checks, curated sets, and AIO audits.
MCP server for mm-precision furniture search, fit checks, curated sets, and AIO audits.
Remote endpoints: streamable-http: https://ai-furniture-hub.onrender.com/mcp sse: https://ai-furniture-hub.onrender.com/sse
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Open access · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-one8943-ai-furniture-hub": {
"url": "https://ai-furniture-hub.onrender.com/mcp"
}
}
}From the project's GitHub README.
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.
io.github.ONE8943/ai-furniture-hubhttps://ai-furniture-hub.onrender.com/mcphttps://ai-furniture-hub.onrender.com/.well-known/mcp.jsonai-furniture-hubIf 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.
AI agents need structured, machine-optimized product data to make useful recommendations. This MCP server provides:
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.
npx ai-furniture-hub
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
| 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 |
| 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) |
| 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 | 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 |
| 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 |
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.
Discontinued product? find_replacement returns:
fit_score (0-100)diagnose_ai_visibility audits any URL:
Every API response includes _attribution metadata with a unique attribution_id, enabling:
Full OpenAPI spec available at /openapi.yaml for RapidAPI and marketplace integration.
| 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 |
furniture-hub://llms.txt
furniture-hub://llms-full.txt
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
| 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.
| Platform | URL |
|---|---|
| MCP Registry | io.github.ONE8943/ai-furniture-hub |
| Render | https://ai-furniture-hub.onrender.com/mcp |
| npm | npx ai-furniture-hub |
npm run test:ci # Vitest
npm run test:all # Full legacy suite
Issues and PRs welcome. See GitHub Issues.
MIT
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
ONE, Inc.
Be the first to review this server!
by Modelcontextprotocol · Developer Tools
Read, search, and manipulate Git repositories programmatically
by Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
by mcp-marketplace · Developer Tools
Create, build, and publish Python MCP servers to PyPI — conversationally.
by Microsoft · Content & Media
Convert files (PDF, Word, Excel, images, audio) to Markdown for LLM consumption
by mcp-marketplace · Developer Tools
Scaffold, build, and publish TypeScript MCP servers to npm — conversationally
by mcp-marketplace · Finance
Free stock data and market news for any MCP-compatible AI assistant.