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Duckhub MCP Server

Developer ToolsLow Risk10.0MCP RegistryRemote
Free

Server data from the Official MCP Registry

Hosted MCP server to manage a restaurant menu from AI agents - 39 tools over the DuckHub API.

About

Hosted MCP server to manage a restaurant menu from AI agents - 39 tools over the DuckHub API.

Remote endpoints: streamable-http: https://mcp.duck-hub.com/mcp

Security Report

10.0
Low Risk10.0Low Risk

Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.

39 tools verified · Open access · No issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "com-duck-hub-menu": {
      "url": "https://mcp.duck-hub.com/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

DuckHub MCP Server — restaurant menu management for AI agents

Hosted MCP (Model Context Protocol) server for DuckHub. Manage a restaurant's menu — products, categories, modifiers, prices, images, translations, promotions, orders — straight from Claude, Cursor, or any MCP-capable AI agent. One URL, your dk_live_ API key, 39 ready-made tools. No install, no code — the server is hosted by DuckHub.

MCP Transport Hosted Auth Docs Glama quality


What is this?

DuckHub is a SaaS platform for restaurants: digital menus, contactless ordering, table reservations and delivery. The DuckHub MCP server exposes the DuckHub v1 REST API to AI agents as typed tools. Instead of writing HTTP requests, your agent sees build_menu, set_image, publish_menu and can build and manage a full menu from a conversation.

The server is remote / hosted — there is nothing to install or run. You add one URL to your AI client and authenticate with the same dk_live_ API key the REST API uses.

Endpoint

POST https://mcp.duck-hub.com/mcp

If the mcp. subdomain is not yet resolvable in your network, the same server is also reachable at https://api.duck-hub.com/mcp.

  • Transport: Streamable HTTP (stateless)
  • Auth: Authorization: Bearer dk_live_... header (API key from the DuckHub app → Integrations page)
  • All the usual rate limits, plan limits and the audit log apply unchanged.

Connect your client

Get your API key from the DuckHub app → Integrations, then:

Claude Code

claude mcp add --transport http duckhub https://mcp.duck-hub.com/mcp \
  --header "Authorization: Bearer dk_live_your_api_key"

Cursor — .cursor/mcp.json

{
  "mcpServers": {
    "duckhub": {
      "url": "https://mcp.duck-hub.com/mcp",
      "headers": { "Authorization": "Bearer ${env:DUCKHUB_API_KEY}" }
    }
  }
}

Claude Desktop — claude_desktop_config.json

Desktop connects remote servers through the mcp-remote bridge (needs Node.js):

{
  "mcpServers": {
    "duckhub": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://mcp.duck-hub.com/mcp",
        "--header",
        "Authorization: Bearer dk_live_your_api_key"
      ]
    }
  }
}

Claude API — MCP connector block

{
  "mcp_servers": [
    {
      "type": "url",
      "url": "https://mcp.duck-hub.com/mcp",
      "name": "duckhub",
      "authorization_token": "dk_live_your_api_key"
    }
  ]
}

claude.ai (web) & ChatGPT — OAuth

claude.ai and ChatGPT connect custom MCP servers through OAuth (there is no API-key field). Add DuckHub as a custom connector with the URL:

https://mcp.duck-hub.com/mcp

then Sign in to DuckHub, choose the venue to connect, and approve. The flow uses OAuth 2.1 with PKCE — your DuckHub login authorizes access and no API key is stored in the client. One DuckHub account maps to one connected venue at a time (reconnect from the DuckHub app to switch venues).

Read-only access

The Integrations page can also issue a read-only key (same dk_live_ format). With it every read tool works normally, and every write tool fails with 403 READ_ONLY_KEY — the API refuses the write before touching anything. Write tools are also marked with standard MCP annotations (readOnlyHint / destructiveHint), so well-behaved clients can filter or confirm them. Use a read-only key for agents that should analyse the menu but never change it.

The 39 tools

All tools wrap the v1 REST API — same behavior, same limits.

GroupTools
Discover & readget_reference, get_menu, list_products, get_product, list_categories, list_publications, get_audit_log
Build the menubuild_menu (bulk sync), set_product, delete_product, set_modifier_group, delete_modifier_group, list_modifier_groups
Settingsget_settings + 7 task-scoped update_* tools
Mediaset_image — product / banner / logo
Translationsset_translations, get_translations
Merchandisingpromotions / banners / tables — list_* / set_* / delete_*
Go livepublish_menu, rollback_publish, cleanup_menu
Orders (paid plans)list_orders, get_order, update_order_status

Agents should call get_reference first: it returns every allowed enum value, the venue's plan limits and current usage, and the money conventions.

Things agents get wrong

  • Money is integers in minor units12.50 is sent as 1250 (cents).
  • Nothing is guest-visible until you publish. build_menu edits the draft; publish_menu makes it live (with a rollback snapshot).
  • Dry-run first. build_menu and cleanup_menu accept dryRun: true.
  • cleanup_menu arrays are KEEP-lists — anything not listed is hidden/deleted.
  • Orders tools need a paid plan — else 403 PAID_PLAN_REQUIRED.

Full documentation

docs.duck-hub.com/mcp — connection guide, per-tool reference, error envelope, rate/plan limits.

About / support

License

MIT — see LICENSE. This repository contains documentation and the server manifest only; the MCP server itself is hosted by DuckHub.

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