September 2025 Summaries

OpsMill has appointed Karen Gallantry as Co-Founder and COO, capitalizing on her extensive experience in global go-to-market leadership to accelerate the growth of its open-source automation platform, Infrahub. Gallantry, who previously held prominent roles at companies like VMWare, Okta, and mParticle, brings a strong background in sales, operations, and finance, complementing the technical expertise of OpsMill CEO Damien Garros. Infrahub, which was launched in October 2024, leverages AI and automation to provide a comprehensive infrastructure data management solution that has quickly gained traction among major enterprises, financial services, and digital businesses. With features like the Emma assistant and a developer-centric VSCode extension, Infrahub offers a structured, schema-driven approach to infrastructure automation, aiming to enhance efficiency, security, and compliance. Backed by notable investors such as Serena Capital and Partech, OpsMill is poised to expand its influence in the infrastructure automation sector, focusing on intent-driven, AI-augmented operations to meet the growing demand for faster and more reliable automation solutions.

Model Context Protocol (MCP) is a communication layer introduced by Anthropic that enables large language models (LLMs) to interact with external programs, enhancing their capabilities beyond text generation. Similar to how a USB-C port standardizes device connections, MCP standardizes how AI models connect with various data sources and tools, eliminating the need for custom integration code for each system interaction. MCP is structured around three main components: the host application, the MCP client, and the MCP server, which work together to allow the AI to utilize external tools seamlessly. An example of this protocol in action is the Infrahub MCP server, which allows LLMs to interact with Infrahub, an infrastructure management tool, by calling predefined functions through a standard protocol. This integration facilitates complex workflows across multiple systems and makes technical operations accessible to non-technical users by enabling them to ask questions in natural language, with the LLM handling the technical complexities.