Nx has introduced an innovative integration with the Model Context Protocol (MCP), enhancing the functionality of language learning models (LLMs) by providing enriched metadata on monorepo structures, project relationships, and architectural contexts. Initially available through GitHub Copilot in VSCode, this advancement is now extended to Cursor, leveraging the open standard pioneered by Anthropic, which facilitates AI models' interaction with development environments. The MCP offers structured access to development tools, enabling AI assistants to better comprehend and manage codebases, particularly beneficial for monorepo development. With Nx's metadata, MCP enhances the development experience by allowing AI to understand entire workspace structures. Users can enable this integration in the Cursor IDE via Nx Console, which uses a local MCP server to communicate through Server-Sent Events. The server is configured automatically, allowing for seamless integration and interaction with various tools to optimize LLM consumption. This extension aims to improve the utility and precision of AI assistants by offering detailed project analysis, interactive graph visualizations, and real-time development error fixing, with future plans for expanded capabilities and user feedback channels.