typescript-standards — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited typescript-standards (Rules) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
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-hubgit 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.txtAI 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 suiteIssues 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。
io.github.ONE8943/ai-furniture-hubhttps://ai-furniture-hub.onrender.com/mcphttps://ai-furniture-hub.onrender.com/.well-known/mcp.jsonONE, Inc.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.