🧠 AI Agent with MCP and LangChain

This project demonstrates how to create an autonomous AI agent using LangChain, MCP (Multi-Component Protocol), and large language models like OpenAI's gpt-4o-mini. The agent is capable of interacting with tools such as Playwright via MCP to execute complex tasks programmatically.

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🚀 Features

• ✅ Uses LangChain to build AI agents
• ✅ Integrates with MCP for multi-process communication and tool orchestration
• ✅ Supports Groq and OpenAI LLMs (e.g., GPT-4o)
• ✅ Asynchronous execution using Python's asyncio
• ✅ Loads configuration from .env and client_config.json

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📦 Requirements

• Python 3.9+
• Node.js & npm (for Playwright MCP server)
• .env file with your API keys

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🔧 Setup

1. Clone the repo

   git clone https://github.com/your-username/your-repo.git
   cd your-repo