🍽️ Tekuila MCP Server

An MCP (Model Context Protocol) server for accessing Tekuila restaurant menus with AI-powered healthy meal recommendations.

Features

• 📅 Daily & Weekly Menus: Get current day and week menus from Tekuila restaurant

• 🤖 AI-Powered Analysis: Intelligent health recommendations and meal planning

• 📊 Date Context: Current date awareness for better planning

• 🌱 Health-Focused: Prioritizes vegetarian options while considering taste

• 🔧 Universal Compatibility: Works with Claude Desktop, Cursor, LM Studio, and other MCP clients

Quick Start

Prerequisites

• Python 3.12 or higher

• uv package manager

Installation

1. Clone and setup:

   git clone <your-repo> cd tekuila uv sync

2. Run the server:

   For cloud hosting (HTTP transport):

   uv run python main.py

   For local development (stdio transport):

   uv run python tekuila.py

Transport Modes

The server supports two different transport modes:

Stdio Transport (tekuila.py)

• Use case: Local development and MCP client integration

• How it works: Communicates via standard input/output

• Best for: Claude Desktop, Cursor, LM Studio, and other MCP clients

• Command: uv run python tekuila.py

HTTP Transport (main.py)

• Use case: Cloud hosting and web deployment

• How it works: Runs as an HTTP server on port 8000

• Best for: Cloud platforms, Docker containers, web services

• Command: uv run python main.py

• URL: http://127.0.0.1:8000 (when running locally)

Connect to MCP Clients

Claude Desktop

Add this to your claude_desktop_config.json (uses stdio transport):

Cursor

The server also works with Cursor's MCP integration. Configure it in your Cursor MCP settings.

LM Studio

Compatible with LM Studio's MCP server support. Add the server configuration in LM Studio's MCP settings.

Available Tools

Basic Menu Tools

• get_current_day_menu() - Get today's menu with date context

• get_current_week_menu() - Get this week's menu with date context

• get_current_date() - Get current date and time context

AI-Powered Planning Tools

• analyze_daily_menu() - Get today's menu with AI analysis instructions

• plan_weekly_menu() - Get week's menu with planning guide

Prompts (for clients with prompt support)

• analyze_menu_selection - AI-powered daily menu analysis

• weekly_menu_planning - AI-powered weekly meal planning

Usage Examples

Daily Menu Analysis

Weekly Planning

AI Analysis

Menu Structure

The server understands Finnish menu categories:

• 🌱 Vegaaninen kasvislounas - Vegan lunch (healthiest)

• 🥬 Kasvislounas - Vegetarian lunch (good option)

• 🍖 Lounas - Regular lunch (meat options)

• ⭐ POP UP Bistro - Special/expensive options

• 🍰 Jälkiruoka - Desserts

AI Analysis Features

Health Priority System

1. Vegaaninen kasvislounas - Usually healthiest (vegan)

2. Kasvislounas - Good vegetarian option

3. Lounas - Regular meat option

4. POP UP Bistro - Special/expensive option

Analysis Guidelines

• Nutritional Quality: Evaluates protein sources, vegetables, cooking methods

• Processing Level: Prefers whole foods over processed options

• Taste Balance: Considers if vegetarian options are actually appealing

• Value Assessment: Evaluates if special options are worth the cost

Red Flags

• Overly processed vegetarian options (like simple carrot crepes)

• Deep-fried items (paistettu)

• Heavy cream/cheese sauces (kerma, juusto)

• Lack of vegetables or protein

Technical Details

RSS Integration

• Current Day: https://www.compass-group.fi/menuapi/feed/rss/current-day?costNumber=0605&language=fi

• Current Week: https://www.compass-group.fi/menuapi/feed/rss/current-week?costNumber=0605&language=fi

Dependencies

• httpx - HTTP client for RSS fetching

• mcp[cli] - Model Context Protocol server framework

Architecture

• Simple RSS Parsing: Extracts day + menu content

• AI-Powered Analysis: Lets AI analyze menu text intelligently

• Shared Instructions: Reuses prompt content across tools and prompts

• Date Awareness: Includes current date context for better planning

Development

Project Structure

Running Tests

Troubleshooting

Server Not Starting

• Check Python version (3.12+ required)

• Ensure all dependencies are installed: uv sync

• Check RSS feed URLs are accessible

License

This project is licensed under the MIT License - see the LICENSE file for details.

Enjoy your healthy meals at Tekuila! 🍽️