The meeting focused on the Model Context Protocol (MCP) and its integration with language models and Desired State Configuration (DSC), highlighting how MCP enables AI agents to interact with external tools and resources, such as GitHub and PowerShell, to automate tasks and manage system configurations.
Steve Lee shared practical scenarios, including automating “presentation mode” setups on laptops using DSC resources and AI, and discussed the need for MCP servers to bridge AI and system management tools.
The group discussed the current state and future of DSC, including the development of MCP servers, collaboration with internal Microsoft teams, and the importance of building robust DSC resources for broader adoption.
Technical challenges around exporting and cloning configurations, the evolution from DSC v2 to v3, and the introduction of new resource capabilities like “delete” and “export” were explored, with Mikey and Steve providing insights into implementation details and best practices. 40:53
Community contributions, funding needs, and the growing collaboration between DSC and other projects like Winget were addressed, emphasizing the expanding ecosystem and the importance of higher-level tools for end users.
The meeting concluded with a Q&A on technical specifics, resource design, and future directions for DSC and MCP integration, encouraging community feedback and experimentation.
DSC resource modules that have been released recently