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Learn to enhance Gemini CLI with Model Context Protocol (MCP) tools by building a complete local Retrieval-Augmented Generation (RAG) system using Ollama and NextJS. Discover how to configure Gemini CLI with MCP servers, specifically integrating Context7 for accessing up-to-date documentation about your technology stack. Build a full-featured NextJS application using TypeScript, Tailwind CSS, and Shadcn components that enables file uploads and document-based conversations through Ollama's local language models. Master the setup process for Gemini CLI updates, configure MCP server connections, and verify your development environment before diving into application development. Follow along as the tutorial demonstrates creating a responsive web interface that allows users to upload documents and engage in intelligent conversations with their content using locally-hosted AI models. Explore the practical implementation of RAG architecture where your uploaded files become the knowledge base for contextual AI responses, ensuring complete data privacy through local processing. The tutorial includes a comprehensive demonstration of the finished application, showing real-time file processing and conversational AI capabilities, making it ideal for developers interested in building privacy-focused AI applications with modern web technologies.
