Sales calls hold valuable insights, such as product intelligence, competitive analysis, attribution data, and feature adoption tracking, but these often go unextracted due to a lack of systematic capture methods. Prefect faced this issue with its Gong sales call recordings until a system using FastMCP was developed, which allows the AI model Claude to automatically analyze and synthesize insights from these calls. FastMCP, a Python framework, facilitates the creation of MCP servers that provide Claude with seamless access to external data sources, eliminating the need for complex custom API setups. This setup includes three components: an MCP Server connecting to Gong, a daily analysis Prefect flow, and an ad-hoc search tool, enhancing flexibility and enabling real-time analysis without extensive pre-processing. FastMCP's integration transforms traditional AI data handling by allowing AI to directly interact with data sources, thereby orchestrating tasks independently and offering a higher abstraction level, which is adaptable to various applications beyond sales intelligence.