developer-tools

Dock AI

by dock-ai

Dock AI: Resolve business domains to discover MCP endpoints for real-world entities quickly and securely.

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

github stars

2

Remote — zero setupMaps business domains to MCP endpoints

best for

  • / AI agents needing to interact with specific businesses
  • / Discovering booking systems for restaurants and hotels
  • / Finding MCP connectors for real-world services

capabilities

  • / Resolve business domains to find available MCP connectors
  • / Discover which services integrate with restaurants, hotels, and other businesses
  • / Get MCP server endpoints for real-world entities
  • / Retrieve business location and capability information

what it does

Discovers MCP servers that can interact with specific businesses by looking up their domains in a registry.

about

Dock AI is an official MCP server published by dock-ai that provides AI assistants with tools and capabilities via the Model Context Protocol. Dock AI: Resolve business domains to discover MCP endpoints for real-world entities quickly and securely. It is categorized under developer tools.

how to install

You can install Dock AI in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.

license

MIT

Dock AI is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

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.

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

Self-Hosting

Deploy to Vercel

Deploy with 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:

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

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

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

FAQ

What is the Dock AI MCP server?
Dock AI is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Dock AI?
This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    Dock AI is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Piyush G· Sep 9, 2024

    We evaluated Dock AI against two servers with overlapping tools; this profile had the clearer scope statement.

  • Chaitanya Patil· Aug 8, 2024

    Useful MCP listing: Dock AI is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Sakshi Patil· Jul 7, 2024

    Dock AI reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Ganesh Mohane· Jun 6, 2024

    I recommend Dock AI for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Oshnikdeep· May 5, 2024

    Strong directory entry: Dock AI surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Dhruvi Jain· Apr 4, 2024

    Dock AI has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Rahul Santra· Mar 3, 2024

    According to our notes, Dock AI benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Pratham Ware· Feb 2, 2024

    We wired Dock AI into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Yash Thakker· Jan 1, 2024

    Dock AI is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.