{
  "mcpServers": {
    "dock-ai": {
      "url": "https://connect.dockai.co/mcp"
    }
  }
}

# Using uvx
uvx dock-ai-mcp

# Or install and run
pip install dock-ai-mcp
dock-ai-mcp

{
  "domain": "example-restaurant.com",
  "entities": [
    {
      "name": "Example Restaurant",
      "path": null,
      "location": { "city": "Paris", "country": "FR" },
      "mcps": [
        {
          "provider": "booking-provider",
          "endpoint": "https://mcp.booking-provider.com",
          "entity_id": "entity-123",
          "capabilities": ["reservations", "availability"],
          "verification": { "level": 2, "method": "dual_attestation" }
        }
      ]
    }
  ],
  "claude_desktop_config": {
    "mcpServers": {
      "booking-provider": { "url": "https://mcp.booking-provider.com/mcp" }
    }
  }
}

User: "Book a table at Gloria Osteria Paris"

Agent: [searches web for "Gloria Osteria Paris official website"]
       -> Finds domain: gloria-osteria.com
       [calls resolve_domain("gloria-osteria.com")]
       -> Gets MCP endpoint for SevenRooms
       -> Connects to the MCP server
       -> Books the table

User: "I need a room at The Hoxton in London"

Agent: [searches web for "The Hoxton London website"]
       -> Finds domain: thehoxton.com
       [calls resolve_domain("thehoxton.com")]
       -> Gets MCP endpoints for available booking providers
       -> Uses the MCP to check availability and book

User: "Book at Le Paris Paris restaurant"

Agent: [calls resolve_domain("leparisparis.fr")]
       -> Response shows pending_providers: [{ "provider": "thefork", ... }]
       -> Informs user: "This restaurant uses TheFork for reservations,
          but TheFork hasn't published an MCP connector yet.
          You can book directly on TheFork's website."