weatherforensics-mcp

WeatherForensics is a Data as a Service (DaaS) that provides comprehensive historical weather data, including standard conditions and severe weather events, relative to a specified target location and timestamp. While most services focus on the "what," our proprietary engine calculates the localized impact of historical weather events—ranging from localized tornadoes to regional hurricanes—at a specific coordinate and datetime. Visit the GitHub repository at https://github.com/markwkiehl/WeatherForensics-MCP to access the sample Python client script (mcp_client_noaa.py). That script will allow you to interact with the WeatherForensics Model Context Protocol (MCP) server. No registration or API Key required for the "Forever Free" Tier. To use the WeatherForensics Model Context Protocol (MCP) directly within Claude Desktop, you must bridge its local standard input/output (stdio) requirement to our remote Streamable HyperText Transfer Protocol (HTTP) server. You do this by pointing