MCP server
CUBBY HOUSE — AU Mattress Commerce for Agents
io.github.GIT-access-ntwx/cubby-house
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
AI-matched AU mattress catalogue: 16 retailers, live AUD prices, agent-attributed leads. No auth.
Working at last checkAbout 618 tokens per request once connected4 tools
https://dome.ml-nightworx.io/mcp
At a glance
- Type
- MCP server
- Publisher
- Not verified
- Status
- Working at last check
- Tools
- 4
- Token cost
- About 618 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http cubby-house https://dome.ml-nightworx.io/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.cubby-house] url = "https://dome.ml-nightworx.io/mcp"
Gemini CLI
{"mcpServers":{"cubby-house":{"httpUrl":"https://dome.ml-nightworx.io/mcp"}}}
Cursor
{"mcpServers":{"cubby-house":{"url":"https://dome.ml-nightworx.io/mcp"}}}
VS Code
{"servers":{"cubby-house":{"type":"http","url":"https://dome.ml-nightworx.io/mcp"}}}
Antigravity
agy mcp add cubby-house https://dome.ml-nightworx.io/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"cubby-house","server_url":"https://dome.ml-nightworx.io/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"cubby-house","server_url":"https://dome.ml-nightworx.io/mcp"}
Tools
dome_get_retailer_traction~86 tokens
Live retailer engagement traction: catalogue size per retailer plus outbound click volume in the recent window. Use to weight which retailers to surface first.dome_match_profile~198 tokens
Match a structured sleep profile to ranked products. Params: sleep_position (string|array: side|back|stomach|combination), pain_points (string|array: lower back pain|shoulder pain|hot sleeper|...), budget_min, budget_max (AUD), size, firmness (1-10), cooling_priority (bool|1-5), limit. Returns rankedome_search_products~186 tokens
Search the CUBBY HOUSE Australian mattress catalogue (14 retailers, 145 products). Params: q (keyword), retailer, size, min_price, max_price, firmness_min, firmness_max, sort (price_asc|price_desc|name), limit, offset.dome_submit_lead~148 tokens
Submit a qualified shopper lead into the CUBBY HOUSE pipeline (stored in Firestore, ops-notified, exportable by the operator). Params: name, email, message, product_id (optional), agent_id (your agent identity), ref_tag (optional).
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