Restaurant Ai MCP
MEOK AI Labs — restaurant-ai-mcp MCP Server
MEOK AI Labs — restaurant-ai-mcp MCP Server
🚀 Quick Start
# Install via pip
pip install restaurant_ai_mcp
# Or install via Smithery
npx -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.
| Domain | Purpose |
|---|---|
| councilof.ai | EU AI Act compliance marketplace |
| safetyof.ai | AI safety & monitoring |
| meok.ai | Sovereign AI platform |
| cobolbridge.ai | Legacy 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:
{
"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_menuto …" - "Use
calculate_food_costto …" - "Use
manage_reservationto …"
Metadata
Release files for restaurant-ai-mcp 1.0.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| restaurant_ai_mcp-1.0.9.tar.gz | 19.8 kB | Without provenance | Details for restaurant_ai_mcp-1.0.9.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| restaurant_ai_mcp-1.0.9-py3-none-any.whl | Python 3 | none | any | Details for restaurant_ai_mcp-1.0.9-py3-none-any.whl |
Total release size: 33.2 kB
Release files / restaurant_ai_mcp-1.0.9.tar.gz
| Download URL | restaurant_ai_mcp-1.0.9.tar.gz |
|---|---|
| Size | 19.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.15
|
Release files / restaurant_ai_mcp-1.0.9-py3-none-any.whl
| Download URL | restaurant_ai_mcp-1.0.9-py3-none-any.whl |
|---|---|
| Size | 13.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
2bc4550ff3d915f1817b265df550bbf12921f48431597cf306bb4f821e94f56e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.15
|
Security for restaurant-ai-mcp 1.0.9
Provenance
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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