Restaurant MCP Server

MCP server for restaurant ai. Features optimize menu, calculate food cost, manage reservatio...

Local serverstdio

What is the Restaurant MCP server?

If you already use Restaurant, the restaurant mcp server is the piece that lets your assistant work with it directly. MCP server for restaurant ai. Features optimize menu, calculate food cost, manage reservatio...

What the server does

This MCP server is built with EU AI Act compliance built-in:

Available tools

The toolset is worth reading before you wire it up, because it tells you what the integration is really for:

  • Well — documented API
  • Production-ready — Active maintenance
  • Pro — ** $99/mo — Full MCP suite + EU AI Act tracking
  • Enterprise — ** $499/mo — Custom dev + SLA + Dedicated support
  • Domain — Purpose

Installation

@smithery/cli on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.

Where it fits

Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Restaurant's toolset — Well, Production-ready, Pro and 2 more — is a fair guide to whether it matches your workflow. It is maintained by CSOAI-ORG; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Worth knowing first

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Available tools

ToolWhat it does
Welldocumented API
Production-readyActive maintenance
Pro** $99/mo — Full MCP suite + EU AI Act tracking
Enterprise** $499/mo — Custom dev + SLA + Dedicated support
DomainPurpose

How to install the Restaurant MCP server

{
  "mcpServers": {
    "restaurant-ai-mcp": {
      "command": "uvx",
      "args": ["restaurant-ai-mcp"]
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Example prompts to try

  • Use Restaurant to Well.
  • Use Restaurant to Production-ready.
  • Use Restaurant to Pro.

Frequently asked questions

It connects Restaurant to MCP-compatible AI assistants such as Claude and Cursor, exposing 5 tools (Well, Production-ready, Pro, and more) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Restaurant directly.