Building Durable AI Applications with Temporal

Last updated on Nov 13, 2025

Learn how to build durable MCP (Model Context Protocol) tools using Temporal Workflows for reliable AI integrations.

• Tutorial 1: Build a weather forecast MCP server that Claude Desktop can use to fetch real-time weather data from the National Weather Service API. You'll implement the tool using Temporal Workflows, which handle the API calls, retries, and state management automatically.

• Tutorial 2: Coming soon! Our next MCP tutorial will show you how to add durable human-in-the-loop capabilities to long-running MCP tools with Temporal.

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📄️ Part 1: Creating a Durable Weather MCP Server with Temporal

Learn how to combine MCP (Model Context Protocol) and Temporal to build AI applications with powerful, durable tool integrations that automatically handle failures and retries.