Weather Service MCP

""" MCP Client for Weather Service A Python client that connects to the Weather Service MCP server and calls its tools programmatically. Demonstrates how to interact with MCP servers using the MCP Python SDK. Usage: python client.py Requirements: - weather.py server must be available - mcp package with client support """ from mcp import ClientSession, StdioServerParameters, types from mcp.client.stdio import stdio_client import asyncio import traceback # Configure the MCP server connection parameters # This tells the client how to start and communicate with the server server_params = StdioServerParameters( command="uv", # Use UV to run the server args=["run", "weather.py"], # Server script to execute ) async def run(location: str): """ Connect to the Weather Service MCP server and call the get_weather tool. Args: location: The city or location to get weather information for Example: await run("New York") """ # Establish stdio connection to the MCP server async with stdio_client(server_params) as (read, write): # Create a client session for communication async with ClientSession(read, write) as session: # Initialize the MCP session (handshake) await session.initialize() try: print("Available tools:") tools = await session.list_tools() print(tools) print("-" * 40) # Call the get_weather tool with location argument print("Calling get_weather tool...") weather: str = await session.call_tool( "get_weather", arguments={"location": location} ) print(f"Weather in {location}: {weather}") except types.ToolCallError as e: print("An error occurred while calling the tool:") traceback.print_exception(type(e), e, e.__traceback__) except Exception as e: print(f"Unexpected error: {e}") if __name__ == "__main__": # Run the async client with a sample location asyncio.run(run(location="Sunnyvale"))