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Gemini CLI and MCP: Building AI-Powered Workflows in the Terminal
Paperback
Series: AI Agents & MCP
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ISBN13: 9798248070183
Publisher: Independently Published
Published: Feb 12 2026
Pages: 140
Weight: 0.43
Height: 0.30 Width: 6.00 Depth: 9.00
Language: English
Publisher: Independently Published
Published: Feb 12 2026
Pages: 140
Weight: 0.43
Height: 0.30 Width: 6.00 Depth: 9.00
Language: English
The terminal is becoming the most powerful AI workspace in modern development. The Developer's Guide to Gemini CLI and MCP is a practical, no-fluff manual for developers who want to build real AI-powered workflows directly from the command line. Instead of treating AI as a chatbot in a browser, this book shows how to turn your terminal into an intelligent automation engine using Gemini CLI and the Model Context Protocol (MCP) - the emerging standard for connecting AI agents to tools, APIs, and real systems. If you work in the terminal every day, this book will fundamentally change how you build, automate, and ship software. What You'll Learn - Install, configure, and master Gemini CLI for daily development workflows
- Understand MCP - the USB-C for AI tools - and why it's reshaping automation
- Connect AI to GitHub, Firebase, Google Workspace, and external APIs
- Build your own MCP servers in Python and Go
- Create reusable AI workflows and custom commands
- Automate tasks across your terminal, editor, and CI/CD pipelines
- Design multi-agent workflows and AI-native developer systems This is not a theoretical AI book. It is a hands-on developer playbook for using AI where developers actually work: the terminal. Who This Book Is For - Software developers and backend engineers
- DevOps and platform engineers
- Data engineers and automation builders
- Technical founders and AI tool builders If you already live in the CLI and want AI to become part of your workflow - not a separate tool - this book was written for you. By the End of This Book You will be able to design AI-powered workflows that run from your terminal, orchestrate tools through MCP, and build systems where AI agents actually execute real work. The command line is evolving. AI agents are moving into the terminal. Developers who master this shift early will have a massive advantage. Start building AI-native workflows today.
- Connect AI to GitHub, Firebase, Google Workspace, and external APIs
- Build your own MCP servers in Python and Go
- Create reusable AI workflows and custom commands
- Automate tasks across your terminal, editor, and CI/CD pipelines
- Design multi-agent workflows and AI-native developer systems This is not a theoretical AI book. It is a hands-on developer playbook for using AI where developers actually work: the terminal. Who This Book Is For - Software developers and backend engineers
- DevOps and platform engineers
- Data engineers and automation builders
- Technical founders and AI tool builders If you already live in the CLI and want AI to become part of your workflow - not a separate tool - this book was written for you. By the End of This Book You will be able to design AI-powered workflows that run from your terminal, orchestrate tools through MCP, and build systems where AI agents actually execute real work. The command line is evolving. AI agents are moving into the terminal. Developers who master this shift early will have a massive advantage. Start building AI-native workflows today.
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