ONE8943/ai-furniture-hub
by Various
MCP server for AI agents: 15 tools, 300+ products, 31 categories. mm-precision furniture search, curated sets, replacement finder with fitscore, AI visibility diagnosis, OpenAPI 3.
MCP
ONE8943/ai-furniture-hub
Added 1 June 2026
Overview
An MCP server that exposes 15 tools for AI agents to search, curate, and replace furniture from a catalog of 300+ products across 31 categories. It supports millimeter-precision dimension queries, a replacement finder with fit scores, and AI visibility diagnosis, all via an OpenAPI 3.1 specification backed by the Rakuten live API for the Japan home and lifestyle market.
Best for
Best for
Developers building AI agents for Japanese home furnishing e‑commerce
Use cases
- Searching furniture by exact dimensions with mm precision
- Finding replacement parts or furniture with a fit score
- Integrating an AI agent with Rakuten's Japanese home goods catalog
Notes
An MCP server that exposes 15 tools for AI agents to search, curate, and replace furniture from a catalog of 300+ products across 31 categories. It supports millimeter-precision dimension queries, a replacement finder with fit scores, and AI visibility diagnosis, all via an OpenAPI 3.1 specification backed by the Rakuten live API for the Japan home and lifestyle market.
0 stars on GitHub. Last updated 2026-04-16. Licensed MIT.
Use cases
- Searching furniture by exact dimensions with mm precision
- Finding replacement parts or furniture with a fit score
- Integrating an AI agent with Rakuten’s Japanese home goods catalog
Pros
- High precision search down to millimeter level
- 300+ products across 31 categories provides a broad catalog
- Uses OpenAPI 3.1 for standard, tool‑friendly integration
Cons
- Zero GitHub stars indicates very limited community adoption
- Exclusively focused on the Japan market, restricting geographic relevance
- No license or usage details published in the available facts
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- High precision search down to millimeter level
- 300+ products across 31 categories provides a broad catalog
- Uses OpenAPI 3.1 for standard, tool‑friendly integration
Cons
- Zero GitHub stars indicates very limited community adoption
- Exclusively focused on the Japan market, restricting geographic relevance
- No license or usage details published in the available facts
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