main.py

import asyncio

from langchain_anthropic import ChatAnthropic
from langchain.agents import create_agent
from langchain_mcp_adapters.tools import load_mcp_tools
from mcp import ClientSession, StdioServerParameters
from mcp.client.stdio import stdio_client


server_params  = StdioServerParameters(
    command="uv",
    args=[
        "--directory",
        "/Users/jtucker/desktop/working/weather",
        "run",
        "weather.py"
    ],
)

async def main():
    async with stdio_client(server_params) as (read, write):
        async with ClientSession(read, write) as session:
            await session.initialize()
            tools = await load_mcp_tools(session)
            llm = ChatAnthropic(
                model="claude-sonnet-4-5",
                max_tokens=1000
            )
            agent = create_agent(
                model=llm,
                tools=tools,
                system_prompt="You are a helpful assistant"
            )
            result = await agent.ainvoke({"messages": [{"role": "user", "content": "what is the weather in sf"}]})
            final_message = result["messages"][-1]
            print(final_message.content)

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