Lunch Roulette MCP Server
Manages and randomly selects from a list of lunch restaurants, storing choices and visit statistics locally.
Lunch Roulette MCP Server
A Model Context Protocol (MCP) server for managing lunch restaurant choices and picking random restaurants. This server helps you decide where to eat lunch by maintaining a list of restaurants and tracking visit statistics.
Features
Available Tools
- GetRestaurants - List all available restaurants
- AddRestaurant - Add a new restaurant to your choices
- PickRandomRestaurant - Randomly select a restaurant for lunch
- GetVisitStatistics - View statistics about how often you've visited each restaurant
Pre-loaded Restaurants
The server comes pre-loaded with 10 trendy restaurants from the West Hollywood area:
- Guelaguetza - Oaxacan Mexican (3014 W Olympic Blvd)
- Republique - French Bistro (624 S La Brea Ave)
- Night + Market WeHo - Thai Street Food (9041 Sunset Blvd)
- Gracias Madre - Vegan Mexican (8905 Melrose Ave)
- The Ivy - Californian (113 N Robertson Blvd)
- Catch LA - Seafood (8715 Melrose Ave)
- Cecconi's - Italian (8764 Melrose Ave)
- Earls Kitchen + Bar - Global Comfort Food (8730 W Sunset Blvd)
- Pump Restaurant - Mediterranean (8948 Santa Monica Blvd)
- Craig's - American Contemporary (8826 Melrose Ave)
Setup
Prerequisites
- .NET 9.0 SDK or later
- MCP-compatible client (VS Code with GitHub Copilot, Claude Desktop, etc.)
Building
dotnet build
Running
dotnet run
Configuration
VS Code with GitHub Copilot
Add this to your MCP settings:
{
"inputs": [],
"servers": {
"lunchroulette": {
"type": "stdio",
"command": "dotnet",
"args": [
"run",
"--project",
"C:\\GitHub\\LunchRouletteMCP\\LunchTimeMCP\\LunchTimeMCP.csproj"
],
"env": {}
}
}
}
Claude Desktop
Add this to your claude_desktop_config.json:
{
"mcpServers": {
"lunchroulette": {
"command": "dotnet",
"args": [
"run",
"--project",
"C:\\GitHub\\LunchRouletteMCP\\LunchTimeMCP\\LunchTimeMCP.csproj"
]
}
}
}
Usage Examples
Getting All Restaurants
Use the GetRestaurants tool to see all available restaurants in your list.
Adding a New Restaurant
Use the AddRestaurant tool with parameters:
- name: The name of the restaurant
- location: The address or location
- foodType: The type of cuisine (e.g., "Italian", "Mexican", "Thai")
Picking a Random Restaurant
Use the PickRandomRestaurant tool to randomly select a restaurant for lunch. This will also increment the visit counter for that restaurant.
Checking Visit Statistics
Use the GetVisitStatistics tool to see:
- How many times you've visited each restaurant
- Total number of restaurants
- Total number of visits
- Restaurants sorted by visit frequency
Data Storage
The server stores restaurant data and visit statistics in:
- Windows:
%APPDATA%\\LunchTimeMCP\\restaurants.json - macOS/Linux:
~/.config/LunchTimeMCP/restaurants.json
This ensures your data persists between server restarts.
Architecture
The server is built using:
- .NET 9.0 - Runtime platform
- Microsoft.Extensions.Hosting - Application hosting framework
- ModelContextProtocol - MCP server implementation
- System.Text.Json - JSON serialization
Key Components
- RestaurantService - Core business logic for managing restaurants and visit tracking
- RestaurantTools - MCP tool implementations
- Restaurant/RestaurantVisitInfo - Data models
- RestaurantContext - JSON serialization context
Example Interactions
- "Show me all restaurants" → Calls
GetRestaurantstool - "Add a new Italian restaurant called Mario's on Main Street" → Calls
AddRestauranttool - "Pick a random restaurant for lunch" → Calls
PickRandomRestauranttool - "Show me visit statistics" → Calls
GetVisitStatisticstool
Contributing
Feel free to extend the server with additional features like:
- Restaurant ratings
- Cuisine preferences
- Location-based filtering
- Integration with restaurant APIs
- Opening hours tracking
เซิร์ฟเวอร์ที่เกี่ยวข้อง
Kone.vc
ผู้สนับสนุนMonetize your AI agent with contextual product recommendations
DeepSRT
Summarize YouTube videos using the DeepSRT API.
Markdownify
Converts various file types and web content, such as PDFs, images, audio, and web pages, into Markdown format.
Paylocity
A server to fetch data from Paylocity API endpoints.
Loreto Skills Generator
Feed any YouTube video, article, PDF, or image into the Loreto API and receive production-ready skill packages, complete with SKILL.md, test scripts, and reference stubs.
Anki MCP Server
Integrate AI assistants with Anki, the popular spaced repetition flashcard software.
Inkdrop
Interact with the local Inkdrop note-taking app database via its HTTP API.
Reply.io
Control Reply.io sequences and contacts directly from your AI model. Manage outreach, pull stats, and enroll prospects — without leaving your AI chat.
Actual Budget
Integrate Actual Budget with LLM assistants to manage your personal finances.
macOS Automator
Run AppleScript and JXA scripts to automate tasks on macOS.
Sperax Ecosystem MCP
MCP server and plugin for Sperax Protocol – USDs, SPA, veSPA & Demeter on Arbitrum. Listed on Anthropic's official MCP Registry.