Terminal MCP Server

from langchain_mcp_adapters.client import MultiServerMCPClient from langgraph.prebuilt import create_react_agent from langchain_openai import ChatOpenAI from dotenv import load_dotenv from langchain_core.messages import HumanMessage import asyncio load_dotenv() llm = ChatOpenAI(model="gpt-4o-mini", temperature=0) async def main(): print("Starting weather MCP client...") # Create the client with server configurations client = MultiServerMCPClient({ "math": { "command": "uv", "args": ["run", "math.py"], "transport": "stdio" # Added missing transport key }, "weather": { "url": "http://localhost:8000/sse", "transport": "sse" }, }) # Get the tools from all servers tools = await client.get_tools() # Create the agent with the tools agent = create_react_agent(llm, tools) # Test weather query result = await agent.ainvoke({ "messages": [HumanMessage(content="What is the weather in Tokyo?")] }) print(result["messages"][-1].content) # Test math query result = await agent.ainvoke({ "messages": [HumanMessage(content="What is 1 + 3* 12 + 10?")] }) print(result["messages"][-1].content) if __name__ == "__main__": asyncio.run(main())