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
İlgili Sunucular
Kone.vc
sponsorMonetize your AI agent with contextual product recommendations
GroundEffect
Hyper-fast, local Gmail and Google Calendar indexing for Claude Code, available as a Skill or MCP Server.
TellDone
Voice-first planning app. Dictate voice notes on iOS/Apple Watch, AI creates structured tasks and events. 21 MCP tools (read + write). Connect from Claude Code, Cursor, Windsurf. Free trial with promo code MCPBETA26.
Autofill PDF
Autofill PDF is an MCP server that connects your Instafill.ai workspace to the Claude and ChatGPT MCP clients, allowing users to upload, search, and automatically fill PDF forms directly from chat.
Leantime MCP Bridge
An MCP proxy bridge for the Leantime project management system, forwarding JSON-RPC messages with proper authentication.
arXiv Chatbot
A local chatbot for searching and interacting with arXiv documents using LangChain.
Linksee Memory
Local-first cross-agent memory MCP. 6-layer structured brain (goal/context/emotion/impl/caveat/learning) with token-saving file diff cache (86% measured savings on re-reads)
Ghost CMS
Automate Ghost CMS with full CRUD operations, bulk actions, and advanced features.
atlassian-mcp-server
Atlassian’s Remote Model Context Protocol (MCP) Server to allow LLMs to talk to Jira, Confluence, OpsGenie, and many other Atlassian prodcuts
spring-openproject-mcp-server
MCP server to manage OpenProject work-packages realized in Java.
Obsidian MCP Server
An MCP server that allows AI assistants to read from and write to your local Obsidian vault.