INDIVIDUAL MCP TOOL

propose_action

The universal write path — your hands.

queenhousemv.comnone authenticationAvailability not checked

Input schema

{}

Potential side effects detected · medium confidence · heuristic, not a guarantee.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.queenhousemv-com]
url = "https://queenhousemv.com/api/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "queenhousemv-com": {
      "type": "http",
      "url": "https://queenhousemv.com/api/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: queenhousemv-com
Remote MCP URL: https://queenhousemv.com/api/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "queenhousemv-com": {
      "url": "https://queenhousemv.com/api/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "queenhousemv-com": {
      "type": "http",
      "url": "https://queenhousemv.com/api/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "queenhousemv-com",
  "transport": "streamable-http",
  "url": "https://queenhousemv.com/api/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

search_stores — Search for restaurants by name, cuisine, or location.
get_store_context — Get EVERYTHING about a restaurant in one call: store info, full menu with modifiers and prices, hours, services, AI instructions, guardrails, availability.
create_order — Place an order at a restaurant.
create_reservation — Make a reservation at a restaurant.
join_waitlist — Add a customer to the restaurant waitlist.
get_business_summary — Get revenue summary for a date range: gross/net revenue, orders, avg ticket, breakdowns by order type.
get_top_items — Get top selling menu items by revenue or quantity for a date range.
compare_periods — Compare sales between two periods (today vs yesterday, this week vs last, this month vs last).