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# AI Furniture & Home Product Hub — MCP Server
> Millimeter-precision product data for AI agents: furniture, home appliances, gadgets, beauty devices, smart home, and more.
> 15 MCP tools + 3 prompt workflows across 31 categories and 90+ brands (355+ products).
> Curated sets (15 bundles, 8 room presets, influencer picks), dimension-compatible replacement with 25-entry compatibility DB, AI visibility diagnosis.
> Operated by ONE, Inc. (Japan).
## Contact
- GitHub Issues: <https://github.com/ONE8943/ai-furniture-hub/issues>
- Repository: <https://github.com/ONE8943/ai-furniture-hub>
- npm: <https://www.npmjs.com/package/ai-furniture-hub>
## MCP Connection
- Registry name: `io.github.ONE8943/ai-furniture-hub`
- Remote Streamable HTTP: <https://ai-furniture-hub.onrender.com/mcp>
- Well-known discovery: <https://ai-furniture-hub.onrender.com/.well-known/mcp.json>
- stdio package: `npx ai-furniture-hub`
## Services
### Product Search & Discovery
Search curated product catalog by mm-precision dimensions, price range, color, category, brand, or free-text keyword.
Rotation-aware space fitting: automatically checks if products fit when width/depth are swapped.
Color alias support: "白" matches ホワイト, アイボリー, etc.
### Related-Item Chains
Every product links to required accessories, protection materials, consumables, and add-ons.
Example: Air purifier → HEPA filter (required, replace every 2 years) + hygrometer + caster stand.
Use `depth=2` to traverse "related items of related items."
### Shelf + Storage Coordination
Given a shelf keyword, calculates how many storage boxes fit per tier, total quantity needed, and total cost including affiliate links.
### Space-Based Suggestions
Provide dimensions in mm → receive all products that fit, grouped by category, with margin calculations.
### Product Identification
Visual feature text (from photo/vision AI) → candidate products with model numbers, inner dimensions, compatible storage.
### Product