Contentful's Model Context Protocol (MCP) is revolutionizing digital content operations by enabling AI agents to interact seamlessly with business systems, offering a standardized approach that integrates large-language-model (LLM)-based agents into workflows. The Contentful MCP server, now open-source, functions as a bridge between AI agents and Contentful workspaces, allowing for the automation of tasks like entry management, content type updates, and operational activities through natural language prompts. Open-sourcing the server aims to foster transparency, customization, and community improvements. Early adopters, including those in media, retail, and tech, are experimenting with MCP to enhance automation, streamline migrations, and ensure security. The protocol supports a range of applications, such as content management, mass migrations, quality assurance, and asset management, with the potential to transform marketing and development collaborations by allowing marketers to describe digital experiences in natural language while developers focus on creating reliable and scalable systems. As MCP gains momentum, Contentful is working on expanding integrations and automation capabilities, positioning MCP as a universal standard for AI-business system connectivity.