AWS launches SiteWise MCP Server for Simplified Modeling

AWS announces Model Context Protocol (MCP) server for AWS IoT SiteWise in the [AWS Labs MCP open-source repository](https://github.com/awslabs/mcp/tree/main/src/aws-iot-sitewise-mcp-server). This MCP server simplifies industrial data modeling by providing built-in domain validation and automated modeling capabilities, eliminating the need for extensive API knowledge. The server supports existing AWS IoT SiteWise functionality through familiar tools while adding new conversational interfaces for enhanced user interaction. The server comes with built-in industrial knowledge and best practices, automatically applying proper units, data types, and quality indicators. This means your industrial models are production-ready from the start, saving valuable time and resources that would otherwise be spent on multiple iterations and corrections. This foundation enables you to easily implement advanced capabilities like anomaly detection and streamlined asset onboarding, while seamlessly integrating with your existing industrial systems. Download SiteWise MCP server from AWS Labs MCP open-source repository. To get started, visit: [AWS Labs MCP repository on GitHub](https://github.com/awslabs/mcp/tree/main/src/aws-iot-sitewise-mcp-server) [SiteWise MCP server documentation](https://github.com/awslabs/mcp/blob/main/src/aws-iot-sitewise-mcp-server/README.md)