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Dock AI logo
Health: ActiveRecent health check succeeded.Last checked 10/5/2026, 2:31:09 AM

Dock AI

User RatingsBe the first to rate and review this MCP server!
View Repository2 GitHub StarsTotal stargazers on GitHub for the source repository (2 stars).Visit Website
business-discoverymcpconnectorsdeveloper-tools

Resolves business domains to available MCP connectors and returns entity, endpoint, capability, and verification details.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "dock-ai": {
      "command": "uvx",
      "args": [
        "dock-ai-mcp"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (1) Directory Badge Claim listing Alternatives💻 More in Developer Tools

Overview

The Dock AI MCP server resolves a business domain against the Dock AI registry to find MCP connectors for real-world entities such as restaurants, hotels, and salons. Its `resolve_domain` tool returns matched entities, locations, connector endpoints, capabilities, verification details, and a Claude Desktop configuration example. Use the hosted endpoint for no-install deployments, or run the package locally when you need to self-host the resolver.

Use cases

•Resolve a restaurant domain before looking for reservation tools
•Discover hotel booking connectors from an official business website
•Check whether a business provider has published an MCP connector
•Inspect connector capabilities and verification details before connecting

Key features

•Business-domain resolution
•Entity and location matching
•MCP endpoint discovery
•Capability and verification metadata
•Pending-provider reporting
•Claude Desktop configuration output

Capabilities & Tool Schemas (1) ~17 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server — may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Dock AI.

resolve_domain

Check if an MCP connector exists for a business domain.

How Dock AI works

What the Dock AI MCP server does

The Dock AI MCP server helps an agent move from a real-world business to an MCP endpoint that may support actions for that business. It queries the Dock AI registry, which maps businesses to MCP connectors. The input is a business domain such as example-restaurant.com; the response can identify one or more matching entities and available providers.

Returned entity data can include the business name, path, city, and country. For each matching connector, the response may provide the provider name, MCP endpoint, entity identifier, supported capabilities, and verification information. If a business has a known provider without a published connector, the registry can also report pending providers.

Typical agent flow:

  1. Find the official domain for a business.
  2. Call resolve_domain with that domain.
  3. Inspect the returned connector and its capabilities.
  4. Connect to the returned MCP endpoint when an appropriate connector exists.

How it works

The resolve_domain tool accepts one required string input: domain. The server sends that domain to the Dock AI registry API and returns the registry result. A successful result can include a claude_desktop_config object showing how to add a discovered provider to Claude Desktop.

The Dock AI MCP server does not itself perform reservations, availability checks, or other business operations. Instead, it helps an agent discover the MCP server that may provide those operations. The examples describe using discovered connectors for restaurant reservations and hotel bookings, but the available actions depend on the provider returned for the requested entity.

Setup and configuration

The hosted service is available at https://connect.dockai.co/mcp, so no local package installation is required. Add that URL as an MCP server in a compatible client:

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

For self-hosting, the repository provides a Vercel deployment option. To run locally, use uvx dock-ai-mcp, or install the package with pip install dock-ai-mcp and start it with dock-ai-mcp. The local process listens on http://0.0.0.0:8080/mcp.

No required environment variables are documented. The server queries the Dock AI registry API and states that it does not collect or store user data.

Tools and capabilities

resolve_domain

Resolves a business domain against the registry. Its response may include:

  • Matching business entities and locations
  • MCP provider names and endpoints
  • Provider-specific entity IDs
  • Declared capabilities such as reservations or availability
  • Connector verification level and method
  • A Claude Desktop configuration block
  • Pending providers that do not yet have an MCP connector

The tool is suited to agents that first identify a business website and then need to discover whether an MCP connection exists for that business.

Limitations and notes

Results depend on the Dock AI registry and the domain supplied by the caller. A business may have no connector, or its provider may be listed as pending until an MCP connector is published. Discovery does not guarantee that every returned provider supports the action an agent wants to perform.

The server is a discovery layer rather than a general booking or commerce interface. After resolution, the agent must connect to and use the discovered provider’s MCP server. The project documents MIT licensing, support through GitHub Issues, and additional documentation at dockai.co/docs.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
2
Stargazers on the source repository.
Last commit
8mo ago
Most recent push to the default branch.
Tools exposed
1
Callable tools this server registers over MCP.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Dock AI

Dock AI is an MCP server that connects AI agents to the Dock AI registry, which maps businesses to MCP connectors. Its main tool, `resolve_domain`, accepts a business domain and returns matching entities, provider endpoints, capabilities, verification details, and possible Claude Desktop configuration.

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Technical Specs & Signals

Category💻Developer Tools
More technical detailsExpand ▾
TransportSTDIO
RuntimePython
LicenseMIT
ClientsClaude Desktop, Cursor, Cline / VS Code, Windsurf, Claude Code, VS Code (GitHub Copilot), Zed, OpenAI Codex CLI, Gemini CLI, JetBrains AI Assistant, Roo Code, Continue, LM Studio
Last updatedOct 6, 2026
15/15 checks healthy over the last 59d
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars2
GitHub Star CountTotal stargazers on GitHub representing community popularity (2 stars).
Last commit8mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jan 27, 2026
45Quality signal: Fair · 45/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools23/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 3d ago via OSV.dev · dock-ai-mcp (PyPI)

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