Building AI tool integrations, MCP servers, and connecting AI models to everything — 11 chapters covering what MCP is and the universal standard, architecture (clients, servers, transports), building your first MCP server in TypeScript & Python, tools/resources/prompts, authentication & security, the MCP server ecosystem, connecting Claude/GPT/Gemini via MCP, custom integrations with Slack/GitHub/databases, production use, testing & debugging, and the future of MCP.