AI Agent using Gemini 2.5 Pro and a custom ADB MCP server

agent.py

import asyncio
import os
from mcp_use import MCPAgent, MCPClient
from langchain_anthropic import ChatAnthropic
from langchain_openai import ChatOpenAI
from langchain_google_genai import ChatGoogleGenerativeAI

async def main():
    print("hello!")
    config = {
        "mcpServers": {
            "demo": {
                "command": "/path/to/venv/bin/uv",
                "args": [
                    "run",
                    "--with",
                    "mcp[cli]",
                    "mcp",
                    "run",
                    "/path/to/server.py"
                ]
            }
        }
    }

        
    client = MCPClient.from_config_file(
        os.path.join(os.path.dirname(__file__), "android_mcp.json")
    )

    agent = MCPAgent(
        llm = ChatGoogleGenerativeAI(model="gemini-2.5-pro"),
        client=client
    )
    
    result = await agent.run("Fetch the list of app installed to the android device connected to the laptop and review the list of packagesto check if the Trainline app installed on the device and if it is, open the app")
    print("--------------------------------")
    print(result)
    
if __name__ == "__main__":
    asyncio.run(main())