The blog post explores how to create long-running, interactive, and reliable tools using Anthropic's Model Context Protocol (MCP) integrated with Temporal Workflows, specifically through an application developed by Temporal's Kevin Martin. This architecture, exemplified by the Temporal Invoice MCP, allows for seamless orchestration of complex, multi-step processes, enabling AI systems to handle tasks without concerns about memory or timeout issues. The post details how to interact with these workflows using tools that trigger processes, check statuses, and manage approvals, showcasing the flexibility and efficiency of integrating human-in-the-loop elements in AI systems. It emphasizes the benefits of using Temporal Workflows for durable execution, facilitating ongoing interactions with agentic systems, and highlights how tools can initiate, control, and monitor long-running processes. Additionally, readers are encouraged to explore further through community resources and a trial of Temporal Cloud.