MCP is the universal way AI agents connect to your data and tools. Anthropic shipped it in November 2024. OpenAI adopted it in March 2025. By April 2026, every major AI tool runs on it.

But every existing MCP tutorial assumes you write Python servers for a living. This guide doesn't. You'll go from 'what is MCP' to 'I have a custom MCP running in Docker that Claude Code uses every day' in one afternoon.

What's inside: • 6-part tutorial (60-90 minutes total) • 5 production-ready MCP server templates with full Python source: - Obsidian Vault Q&A (search/read/list your notes) - Habit Tracker (SQLite, streak tracking, natural language) - Personal Finance (transactions, monthly summary, category breakdown) - Local File Search (FTS5-indexed full-text search) - Webhook Notifier (Slack, Discord, generic webhooks) • Docker deployment guide (compose, healthchecks, resource limits) • Security checklist (CVE-2025-6514 patterns and how to avoid them) • Testing workflow + design patterns

Prereq: Python 3.11+, Docker. No prior MCP experience needed.