Restaurant Ai Mcp

io.github.CSOAI-ORGPublished by GitHub account CSOAI-ORGv1.0.9Updated Oct 30, 2026

Restaurant Ai MCP Server by MEOK AI Labs

VerifiedSTDIODesktop onlyProductivity & WorkflowBusiness & Commerce

Overview

AI-generated overview

A local stdio MCP server from MEOK AI Labs that, per its README, offers restaurant tools such as menu optimization, food-cost calculation and reservations.

What you can do
  • Menu and food-cost work: the README names an optimize_menu tool and a calculate_food_cost tool for menu and cost questions.
  • Reservations: a manage_reservation tool is named for handling bookings.
  • Beyond these three example tool names, the README lists no further tools, parameters or outputs; it mostly advertises compliance claims, pricing tiers and links to other MEOK products.
When to use it
Only worth trying if you want an assistant to help with restaurant menu, food-cost or reservation tasks and are willing to test whether the advertised tools actually exist and work.
Requirements
Runs locally over stdio as a Python package (restaurant-ai-mcp), installed with pip or launched via uvx; the README also shows a Smithery install command. No authentication, environment variables or headers are declared.
Before you install
The README is largely marketing: EU AI Act compliance badges, paid Pro ($99/mo) and Enterprise ($499/mo) tiers, and links to other products. Tool behavior, data handling and whether any tool writes or changes reservation data are undocumented, so verify before relying on it.

Installation

In SourceWeft

  1. Open Restaurant Ai Mcp in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

[MCP Scorecard: 84/100]

Restaurant Ai MCP

[MEOK AI Labs] [GSPC] [License] [PyPI]

MEOK AI Labs — restaurant-ai-mcp MCP Server

MEOK AI Labs — restaurant-ai-mcp MCP Server

🚀 Quick Start

bash
# Install via pippip install restaurant_ai_mcp
# Or install via Smitherynpx -y @smithery/cli@latest install restaurant-ai-mcp --client claude

✨ Features

  • MCP protocol compliant
  • Easy installation
  • Well-documented API
  • Production-ready
  • Active maintenance

📖 Documentation

🛡️ Compliance

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

  • ✅ Article 9 — Risk Management System
  • ✅ Article 13 — Transparency & Instructions for Use
  • ✅ Article 15 — Bias Detection & Testing
  • ✅ Article 26 — FRIA Support (where applicable)
  • ✅ Article 50 — AI Content Watermarking (where applicable)

Need help getting compliant? Book a free 15-min diagnostic →

🏢 Enterprise

Need custom development, SLA guarantees, or white-label deployment?

  • Pro: $99/mo — Full MCP suite + EU AI Act tracking
  • Enterprise: $499/mo — Custom dev + SLA + Dedicated support

View Pricing → | Contact Sales →

🤝 Part of the MEOK Ecosystem

This server is part of the MEOK AI Labs ecosystem — 300+ MCP servers for sovereign AI governance.

DomainPurpose
councilof.aiEU AI Act compliance marketplace
safetyof.aiAI safety & monitoring
meok.aiSovereign AI platform
cobolbridge.aiLegacy modernization

📜 License

MIT © CSOAI-ORG

Built with 💜 by MEOK AI Labs · UK Companies House 16939677

Configuration

Add to your claude_desktop_config.json (Claude Desktop) or your MCP client config:

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

Or: pip install restaurant-ai-mcp then run the restaurant-ai-mcp command (stdio transport).

Examples

Once configured, ask your assistant, for example:

  • "Use optimize_menu to …"
  • "Use calculate_food_cost to …"
  • "Use manage_reservation to …"

Source: README.md at commit d6fb348

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v1.0.9LatestSep 16, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts