Advanced MCP Agent Streamlit App

A modern Streamlit application demonstrating the capabilities of the MCPAgent with built-in conversation memory.

Features

• 🤖 Interactive chat interface with the MCPAgent
• 🧠 Built-in conversation memory for contextual interactions
• 🌐 Web browsing and search capabilities
• 🔄 Model selection from available models
• 📱 Responsive design with modern UI

Setup and Installation

1. Make sure you have Python 3.11 or newer installed
2. Install dependencies:

pip install -e .

Or using uv:

uv pip install -e .

3. Set up your environment variables in .env file:

GROQ_API_KEY=your_api_key_here

Running the App

To run the Streamlit app:

streamlit run app.py

Configuration

The app uses the browser_mcp.json file for configuration. You can modify the available models and other settings in this file.

Notes

• The app uses Streamlit's session state to maintain the conversation history during the session
• The agent is initialized when the app starts, which may take a few seconds
• You can start a new conversation at any time using the "New Conversation" button in the sidebar