MCP Model Context Protocol Projects
What is MCP Multimodal Assistant?
The MCP Multimodal Assistant is a versatile AI assistant that combines multiple capabilities including live weather data streaming, Python code execution in a sandboxed environment, and interactive query processing through an easy-to-use interface.How to use MCP Multimodal Assistant?
You can interact with the assistant either through the Streamlit web interface or by connecting directly to its API services. The system requires minimal setup - just install dependencies and configure your API key.Ideal Use Cases
Perfect for developers needing quick code testing, researchers requiring live data feeds, or anyone who wants an intelligent assistant with multimodal capabilities.Key Features
Live Weather UpdatesConnect to Server-Sent Events (SSE) for real-time weather data streaming from any location
Python Code ExecutionSafely execute Python code in a sandboxed environment with controlled access
Interactive Web InterfaceUser-friendly Streamlit frontend for easy interaction with all MCP capabilities
Pros and Cons
Advantages
Multimodal capabilities combine different AI functions in one package
Easy-to-use web interface requires no technical knowledge
Secure sandbox for Python code execution
Real-time data streaming capabilities
Limitations
Requires Groq API key for full functionality
Weather service depends on external data sources
Python execution has some security restrictions
Getting Started
Install Dependencies
Install required Python packages using pip
Configure API Key
Create a .env file with your Groq API key in the mcp-client folder
Launch Services
Start the weather service or web interface
Example Scenarios
Checking Live WeatherGet real-time weather updates for your location
Running Python CodeExecute simple Python calculations or algorithms
Frequently Asked Questions
Do I need programming skills to use this?
How do I get a Groq API key?
Is my Python code execution private?
Additional Resources
Groq API Documentation
Official documentation for the Groq API
Streamlit Framework
Learn more about building web apps with Streamlit
Python Official Site
Python programming language resources
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