AI Furniture Hub

If your MCP client supports registry search, search forio.github.ONE8943/ai-furniture-huborAI Furniture & Home Product Hub. If your client supports direct remote MCP, connect it tohttps://ai-furniture-hub.onrender.com/mcp.

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

Option 1: Remote (Cursor / Claude / VS Code / ChatGPT)

{ "mcpServers": { "furniture-hub": { "url": "https://ai-furniture-hub.onrender.com/mcp" } } }

Works in any MCP client that accepts a remote Streamable HTTP URL.

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

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.

- 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)

Discontinued product?find_replacementreturns:

- DB-registered successors
- Dimension-compatible alternatives withfit_score(0-100)
- Live Rakuten search results

- 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

Every API response includes_attributionmetadata with a uniqueattribution_id, enabling:

- Per-call tracking for pay-per-call monetization
- Source detection (Apify, RapidAPI, direct)
- Contribution logging for revenue attribution

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

All environment variables are optional. The server works out of the box with mock data.

npm run test:ci # Vitest npm run test:all # Full legacy suite

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。

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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

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

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

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