MCP in Action: The Practical Guide to Building AI Agent Workflows in 2026
MCP in Action: The Practical Guide to Building AI Agent Workflows in 2026📘 Stop stitching AI tools together with fragile scripts — build agentic workflows that actually work while you sleep.🎯 Who This Is For Developers running 3+ AI tools daily and tired of rebuilding the same integrations Technical founders building AI-powered products who want reliable tool chains AI operators who spend more time configuring automations than actually automating Small teams using Claude, Cursor, and other AI tools that could share context — if only they spoke the same language ✅ What's Inside What MCP Actually Is — The protocol explained without the hype, including the July 2026 spec RC and why it matters Anatomy of an MCP Server — The three capability types, the transport layer, and building your first working server Connecting to Real AI Hosts — Cursor, Claude Code, Claude Desktop, and more — step-by-step configuration Production-Grade Server Architecture — PostgreSQL, filesystem, webhooks, systemd deployment, and environment management Your First Agentic Workflow — Three real workflows: morning standup bot, customer onboarding pipeline, research summarization Enterprise Multi-Agent Patterns — Sequential pipelines, orchestrator-worker, supervisor patterns — with LangGraph code The 2026 MCP Ecosystem — What's actually working, what's not, and what to watch in the next 6 months What Comes Next — Resources, communities, and the path forward 🚀 What You'll Be Able to Do After Reading Build and deploy a working MCP server in under an hour Connect any AI tool to any external tool using the MCP standard Design idempotent agentic workflows that run reliably on a schedule Replace your Zapier/Make workflows with MCP-powered alternatives that don't break on API changes Implement a real three-agent research pipeline that saves hours per week Evaluate new MCP-native tools as the ecosystem expands 💡 What Makes This DifferentThis isn't a brochure for MCP. It's a working guide written by someone who's spent 18 months actually running MCP in production.Every chapter includes real code. Every pattern comes from something that's been tested, broken, and fixed. The workflows in Chapter 5 are the same ones running in real systems today.If you've tried MCP before and it felt too early — you're right that 2025 was too soon. 2026 is not.👉 Get the BookAvailable now — instant digital download.📊 Book Details Format: PDF Chapters: 8 Word count: ~7,500 Author: Dominus Publisher: Dominus Code Dominus CodePractical AI for people who ship.🌐 https://www.dominuscode.com - Amazon Store.
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