I wanted a simple, unified way to run advanced AI tools directly from the command line without switching between platforms. Gemini CLI offered a flexible base, and by integrating MCPs like Context7, TaskMaster-AI, and SmolAgents, I could fetch real-time documentation, automate workflows, and interact with multiple APIs—all from one environment. This setup combines powerful AI micro-agents (MCPs) in a seamless .gemini/settings.json configuration. Unlike traditional CLI tools, this approach pulls in OpenAI, Claude, and Google models, and injects up-to-date context like docs or GitHub repos into prompts. It’s modular, efficient, and perfect for power users or developers experimenting with LLM agents. I'm proud that everything runs smoothly with just npx and a config file. No bloated installs—just plug in your APIs and go. It’s helped me answer complex questions faster, stay organized, and use AI in real workflows. Seeing all these tools work together is genuinely exciting.

Gemini CLI + AI MCP Tools

Gemini CLI + AI MCP Tools

Gemini CLI + AI MCP Tools