This book offers a detailed introduction to the groundbreaking field of AI agents and Model Context Protocol (MCP). The first section delves into generative AI and large language models (LLMs), exploring how these technologies power modern AI systems. From there, the book introduces the concept of AI agents—autonomous systems capable of executing tasks with varying levels of complexity. Moving into practical applications, the book focuses on Model Context Protocol, explaining its key components and how it enables effective interaction between AI and various software tools. Each chapter offers step-by-step instructions for setting up MCP servers for popular tools like Gmail, YouTube, GitHub, and more, empowering readers to automate tasks and streamline workflows. The book concludes by addressing the future of MCP, its potential risks, and how to stay safe while using these advanced technologies. Whether you're a beginner or experienced practitioner, this guide will deepen your understanding of AI and enhance your ability to leverage cutting-edge automation in daily operations.

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Spis treści

Model Context Protocol. Master the integration of AI Agents and Model Context Protocol with real-world applications eBook -- spis treści

• 1. Introduction
• 2. What are AI Agents
• 3. What is Model Context Protocol?
• 4. GSuite MCP server
• 5. Excel MCP server
• 6. PowerPoint MCP server
• 7. Notion MCP server
• 8. WhatsApp MCP server
• 9. YouTube MCP Server
• 10. Slack MCP Server
• 11. Discord MCP server
• 12. Twitter MCP Server
• 13. LinkedIn Automation using Zapier MCP
• 14. SQL MCP server
• 15. GitHub MCP server
• 16. Docker MCP server
• 17. Jupyter MCP server
• 18. Blender MCP server
• 19. Figma MCP server
• 20. Filesystem MCP Server
• 21. Puppeteer MCP Server
• 22. MCP using Local LLMs with Ollama
• 23. MCP tools using LangChain
• 24. Any LLM - Any MCP
• 25. Building Your Own MCP Server
• 26. MCP might be risky
• 27. The Future of MCP and AI Agents