MCP server for mm-precision furniture search, fit checks, curated sets, and AIO audits.
Dev & Codev6.3.0streamable-httpai-furniture-hub.onrender.com repository
| Criterion | Points | Observed |
|---|---|---|
| reachability | 25 / 25 | HTTP 200, initialize accepted in 833ms |
| protocol | 15 / 15 | valid JSON-RPC initialize result, protocolVersion 2025-06-18, serverInfo furniture-hub@6.4.0 |
| tooling | 35 / 35 | tools/list OK: 18 tools e.g. "search_products"; 18/18 described, 18/18 fully-typed schemas, median description 188 chars |
| latency | 7 / 10 | initialize round-trip 833ms |
| provenance | 15 / 15 | description present; repository linked; version 6.3.0; namespace io.github.ONE8943 matches endpoint/repo |
Score 97/100 · latency 833ms · 18 tools · auth: open
Claude Code:
claude mcp add --transport http ai-furniture-hub https://ai-furniture-hub.onrender.com/mcp
Generic MCP client config:
{ "mcpServers": { "ai-furniture-hub": { "type": "http", "url": "https://ai-furniture-hub.onrender.com/mcp" } } }
MCP Queen is a graded index, not a middleman — your agent connects directly to the server above. Check the grade and evidence first; that's the point.
Share this server: permalink https://mcpqueen.com/s/io.github.ONE8943/ai-furniture-hub · referral link https://mcpqueen.com/go/io.github.ONE8943/ai-furniture-hub (counts as “routed via the queen”).
Live badge, re-probed continuously — put it in your README:
[](https://mcpqueen.com/s/io.github.ONE8943/ai-furniture-hub)
Think the grade is wrong? Fix the finding the evidence shows, then the next probe cycle picks it up automatically (full cycle ≈ 3 days) — or open a dispute via the MCP endpoint.
Email alerts when the grade changes or the endpoint stops answering. Double-opt-in, one-click unwatch, free while in beta.
| When (UTC) | Grade | Score | Latency |
|---|---|---|---|
| 2026-07-13 18:02 | A | 97 | 833ms |