MCP Chat CLI

A simple interactive chat application using MCP (Model Context Protocol) that allows AI to access tools like web browsing.

Features

• Interactive command-line chat interface
• Web browsing capability through Playwright MCP
• Conversation memory to maintain context
• Support for OpenAI and Groq models

Prerequisites

• Python 3.11+
• uv package manager
• API keys for LLM providers (OpenAI/Groq)

Installation

1. Clone this repository:

git clone https://github.com/cthuaung/mcpdemohttps://github.com/cthuaung/mcp-use-cli.git
cd mcp-use-cli

2. Set up a virtual environment with uv:

uv init
uv venv

3. Install dependencies using uv:

uv add python-dotenv langchain-groq langchain-openai mcp-use

4. Create a .env file with your API keys:

OPENAI_API_KEY=your_openai_api_key
GROQ_API_KEY=your_groq_api_key

5. Create a browser_mcp.json configuration file:

{
  "mcpServers": {
    "playwright": {
      "command": "npx",
      "args": ["@playwright/mcp@latest"],
      "env": {
        "DISPLAY": ":1"
      }
    }
  }
}

Usage

Run the application:

uv run app.py

Chat Commands

• Type your messages normally to chat with the AI
• Type exit or quit to end the conversation
• Type clear to clear the conversation history

How It Works

This application uses the MCP-Use library to create an agent that can access tools through the Model Context Protocol. The agent uses LangChain and supports multiple LLM providers like OpenAI and Groq.

The main features include:

• Built-in conversation memory for contextual interactions
• Web browsing capabilities through Playwright MCP
• Simple command-line interface for easy interaction

Customization

You can modify the LLM model by uncommenting and configuring different models in the app.py file:

# Choose your preferred model
llm = ChatOpenAI(model="gpt-4o")
# llm = ChatGroq(model="llama-3.3-70b-versatile")

License

MIT

Credits

This project uses the MCP-Use library by Pietro Zullo.