Uber Eats Automation
Proof - of - concept project for the MCP server based on Uber Eats
rating : 2 points
downloads : 6.2K
What is the Uber Eats MCP Server?
The Uber Eats MCP Server is an open - protocol tool that allows external applications to seamlessly connect to the Uber Eats platform via the Model Context Protocol (MCP). It enables developers to easily integrate Uber Eats features into their own applications.How to use the Uber Eats MCP Server?
First, ensure that Python 3.12 or a higher version is installed and the environment variables are configured. Then run the server script to start communicating using the MCP protocol.Use cases
Suitable for applications that need to interact with the Uber Eats platform, such as restaurant management software, order tracking systems, or customer service platforms.Main Features
MCP Protocol Support
Compatible with the Model Context Protocol for efficient data exchange.
API Key Management
Supports API key configuration for Anthropic or other LLM providers.
Debugging Tools
Built - in MCP debugging tools to facilitate developers in checking and optimizing the interaction process.
Advantages
Easy to integrate into existing systems.
Supports APIs of multiple LLM providers.
Powerful debugging tools improve development efficiency.
Limitations
Requires a certain programming foundation for setup and operation.
Has a certain dependence on the network environment.
How to Use
Activate the Virtual Environment
Create and activate a Python virtual environment, ensuring the Python version is higher than 3.12.
Install Dependencies
Install the Python packages and browser drivers required for the project.
Configure API Keys
Fill in the API keys of Anthropic or other LLM providers in the .env file.
Start the MCP Server
Run the script to start the MCP server.
Usage Examples
Query Order Status
Get the status information of a specified order through the MCP interface.
Add a New Restaurant
Use MCP to add new restaurant information to the Uber Eats platform.
Frequently Asked Questions
How to install the dependencies required for the MCP server?
Does it support other LLM providers?
What to do if there are debugging issues?
Related Resources
Model Context Protocol Official Website
Understand the basic knowledge of the MCP protocol.
GitHub Code Repository
View the source code and example projects.
MCP Debugging Tools Documentation
Learn how to use the debugging tools.

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
16.6K
4.3 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
14.8K
4.5 points

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
23.6K
5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
45.0K
4.3 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
19.2K
5 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
44.5K
4.5 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
30.3K
4.8 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
62.9K
4.7 points

