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…
ai-furniture-hub is an MCP project maintained in the one8943/ai-furniture-hub repository. The maintainer describes its purpose as “15 tools | 355+ curated products | 31 categories | 90+ brands Millimeter-precision search, curated sets, AI visibility diagnosis, OpenAPI 3.1 schema. Built for ChatGPT…”. Read the project documentation for the complete scope.
The maintainer’s configuration uses https://ai-furniture-hub.onrender.com/mcp. Check the project’s account and authentication instructions when adding the endpoint to your client.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| 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 |
| 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) |
| 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 |
{
"mcpServers": {
"furniture-hub": {
"url": "https://ai-furniture-hub.onrender.com/mcp"
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
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Use Firecrawl MCP to retrieve website content and extract information for research through Firecrawl’s API-backed web tools.
The original Chromium automation reference server — simple, screenshot-driven browser control.
Puppeteer-powered browser control that drives pages from the accessibility tree instead of pixels.
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