Canuckeats
AI food ordering across Canada — 17,000+ restaurants, 89 cities, real UberEats + DoorDash.
What is Canuckeats?
Canuckeats is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to ai food ordering across canada — 17,000+ restaurants, 89 cities, real ubereats + doordash.
AI food ordering across Canada — 17,000+ restaurants, 89 cities, real UberEats + DoorDash.
This server falls under the Business Applications category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- AI food ordering across Canada — 17,000+ restaurants, 89 cit
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx io-github-canuckeats-canuckeatsConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Canuckeats
What is Canuckeats?
Canuckeats is a Model Context Protocol (MCP) server that ai food ordering across canada — 17,000+ restaurants, 89 cities, real ubereats + doordash. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Canuckeats?
Follow the installation instructions on the Canuckeats GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Canuckeats?
Canuckeats works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Canuckeats free to use?
Yes, Canuckeats is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Business Applications MCP Servers
Explore all business applications servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Canuckeats in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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