MCP server for AI agents: 18 tools, 355+ curated products, 31 categories, 90+ brands. mm-precision furniture search, photo-to-dimension measurement
MCP server for AI agents: 18 tools, 355+ curated products, 31 categories, 90+ brands. mm-precision furniture search, photo-to-dimension measurement, carry-in path checker, demand analysis, curated sets, replacement finder with fit_score &. The ai furniture hub mcp server wraps that behind the Model Context Protocol, so an assistant can use it rather than through you.
If 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.
Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.
You will need one environment variable: RAKUTEN_APP_ID. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
This sits in the file and storage access group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. It is maintained by one8943; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
{
"mcpServers": {
"furniture-hub": {
"url": "https://ai-furniture-hub.onrender.com/mcp"
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| RAKUTEN_APP_ID | Configuration value read at startup. | Optional |
Scoped local file access — read, write, search and reorganise files in directories you explicitly allow.
Search and read your Drive — Docs, Sheets and files become context your assistant can actually use.
Query, modify and analyse local SQLite databases in conversation — the fastest way to chat with a data file.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Chat with your second brain — search, read and write vault notes through the Local REST API.
Connects AI models to an Obsidian knowledge base for direct access and manipulation of notes and folders.