Imports: The SDK modules for server creation and HTTP transport are imported to set up the foundation. Server Initialization: The MCPServer object is created with a clear name and version, making it identifiable. Transport Setup: HTTPTransport is configured to listen on all interfaces at port 8000. Logging: A simple print statement confirms the ser

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python # Import necessary modules from the MCP SDK and standard libraries from mcp_sdk.server import MCPServer from mcp_sdk.transport import HTTPTransport # Initialize the MCP server with a name and version server = MCPServer(name="example-mcp-server", version="1.0.0") # Set up a simple HTTP transport for receiving client reques

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Step 4: Testing Your MCP Server Goal: Verify that your server and its tools are functioning correctly. Code Example: python # Simulate a client request for testing purposes test_parameters = {"location": "San Francisco"} response = safe_fetch_weather_data(test_parameters) print("Test response:", response) Documentation

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output_schema={"location": "string", "temperature": "string", "condition": "string"}, function=safe_fetch_weather_data ) print("Tool 'fetchWeatherSafe' registered with error handling.") Documentation: Logging Setup: The logging module is configured to log information and error me

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Set up logging configuration logging.basicConfig(level=logging.INFO) def safe_fetch_weather_data(parameters): try: result = fetch_weather_data(parameters) logging.info(f"Successfully fetched weather data: {result}") return result except Exception as e: logging.error(f"Error fetching weather data: {e}") return {"error":

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