Dock AI

co.dockaiv1.0.0更新於 Sep 30, 2026

Discover MCP endpoints for real-world entities by resolving business domains.

已驗證Streamable HTTP可網頁執行AI & ML

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Dock AI，將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable，透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "mcp": {
      "type": "http",
      "url": "https://mcp.dockai.co/mcp"
    }
  }
}

README

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.

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

Self-Hosting

Deploy to Vercel

[Deploy with Vercel]

Run locally

bash
# Using uvxuvx dock-ai-mcp
# Or install and runpip install dock-ai-mcpdock-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:

  • domain (string): The business domain to resolve (e.g., "example-restaurant.com")

Output:

json
{  "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

Privacy

This MCP server queries the Dock AI registry API to resolve domains. No user data is collected or stored. See our Privacy Policy.

License

MIT

來源：README.md，提交 a8b90b0

工具

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工具後設資料尚未被收錄。

版本歷史

1
  1. v1.0.0最新Sep 16, 2026