import asyncio
import os
from dotenv import load_dotenv
from langchain_anthropic import ChatAnthropic
from mcp_use import MCPAgent, MCPClient

async def main():
    # Load environment variables
    load_dotenv()

    # Create configuration dictionary
    config = {
      "mcpServers": {
        "playwright": {
          "command": "npx",
          "args": ["@playwright/mcp@latest"],
          "env": {
            "DISPLAY": ":1"
          }
        }
      }
    }

    # Create MCPClient from configuration dictionary
    client = MCPClient.from_dict(config)

    # Create LLM
    llm = ChatAnthropic(model="claude-3-7-sonnet-20250219")

    # Create agent with the client
    agent = MCPAgent(llm=llm, client=client, max_steps=30)

    # Run the query
    result = await agent.run(
        "Find the best restaurant in San Francisco",
    )
    print(f"\nResult: {result}")

if __name__ == "__main__":
    asyncio.run(main())

client = MCPClient.from_config_file(
      os.path.join("browser_mcp.json")
  )

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