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dock-ai/mcp

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MCP server for Dock AI - discover MCP endpoints for real-world entities

개요

MCP server for Dock AI - discover MCP endpoints for real-world entities. Dock AI is a registry that maps businesses to their MCP connectors. This MCP server allows AI agents to discover which MCP servers can interact with a given entity (restaurant, hotel, salon, etc.) by querying the Dock AI registry. Use the hosted version at https://connect.dockai.co/mcp - no installation required. The server starts on http://0.0.0.0:8080/mcp. Check if an MCP connector exists for a business domain. - domain (string): The business domain to resolve (e.g., "example-restaurant.com") - : dockai.co/docs - : GitHub Issues - : [email protected] This MCP server queries the Dock AI registry API to resolve domains. No user data is collected or stored. See our Privacy Policy.

README

원문 README의 일부입니다. 원문 보기.

Dock AI MCP

MCP server for Dock AI - discover MCP endpoints for real-world entities.

What is this?

Dock AI is a registry that maps businesses to their MCP connectors. This MCP server allows AI agents to discover which MCP servers can interact with a given entity (restaurant, hotel, salon, etc.) by querying the Dock AI registry.

Hosted Version

Use the hosted version at https://connect.dockai.co/mcp - no installation required.

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

Self-Hosting

Deploy to Vercel

Run locally

# Using uvx
uvx dock-ai-mcp

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

The server starts on http://0.0.0.0:8080/mcp.

Tools

resolve_domain

Check if an MCP connector exists for a business domain.

Input:

Output:

{
  "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" }
    }
  }
}

Examples

Example 1: Restaurant Reservation

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

Example 2: Hotel Booking

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

Example 3: Business with No MCP Yet

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."

Support

GitHub에서 전체 README 보기

설치

uvx dock-ai-mcp
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설정

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