This document provides comprehensive documentation for a Generative AI assistant. It covers the agent's overview, intended use, features, core components, data sources, and technical specifications. The document also includes details on responsible AI considerations and the evaluation metrics used to measure its performance.

This Model Card provides a comprehensive overview of the Machine learning models, detailing its purpose, intended uses, and the data utilized for its development and evaluation. It also addresses ethical considerations, assumptions, and constraints, along with the evaluation metrics used to assess its performance.

The Model Context Protocol (MCP) is an open standard that lets AI assistants discover and call external tools dynamically. The Geotab MCP server exposes MyGeotab as AI-callable tools, so any MCP-compatible client — such as Claude, ChatGPT, Microsoft Copilot Studio, Cursor, or VS Code — can query and act on your fleet data in natural language. See the MyGeotab MCP documentation for capabilities, getting started, security, and more.