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Agentic Ready 45/100

            

llms.txt Content

# 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