# Best AI resources for MCP and context engineering Canonical URL: https://learnetto.com/ai-guides/best-ai-resources-for-mcp-and-context-engineering Markdown URL: https://learnetto.com/ai-guides/best-ai-resources-for-mcp-and-context-engineering.md Last updated: 2026-06-23 Source: Learnetto AI learning directory ## Summary Learn skills, memories, subagents, MCP servers, and context design for coding agents and tool-connected AI apps. Topics: mcp, context engineering, code agents, skills, subagents ## Short answer - **Best TypeScript MCP tutorial:** Model Context Protocol Tutorial. Matt Pocock's guide to building MCP servers and connecting Claude Code. Start here if you want to build and package a real MCP server. - **Best context-engineering course:** Hugging Face Context Course. Free Hugging Face course on context engineering for coding agents. Use it for skills, subagents, hooks, and MCP-shaped context design. - **Best official OpenAI reference:** OpenAI MCP and connectors. Official OpenAI guide for MCP servers and connectors. Use it when wiring tools into OpenAI agent workflows. ## Context design is now an engineering skill Coding agents and tool-connected assistants only work well when they receive the right context at the right time. MCP, skills, subagents, project instructions, memories, and hooks are all ways of shaping that context. Matt Pocock's MCP tutorial is a good build-first path. Hugging Face's Context Course teaches the broader discipline. Official OpenAI and Anthropic docs matter when the integration needs to match current product behavior. ## Good context is selective The answer is not to dump everything into the model. Good context engineering decides what the assistant needs, what it can retrieve, what should become a tool, what belongs in memory, and what must stay behind permissions. A strong resource should show how context fails: stale instructions, overloaded chats, missing files, unclear tool descriptions, and handoffs that lose the important facts. ## Recommended resources 1. [AI Skills for Real Engineers](https://www.aihero.dev/skills) - Skills catalog by Matt Pocock; level: Intermediate. You want a reusable skill system for agentic coding, including /grill-me, /grill-with-docs, /to-prd, /to-issues, /tdd, /triage, /handoff, /prototype, and review workflows. 2. [AI SDK v6 Crash Course](https://www.aihero.dev/workshops/ai-sdk-v6-crash-course) - Workshop by Matt Pocock; level: Intermediate. You want a structured AI SDK v6 course that covers model choice, text and object generation, UI streams, agents, persistence, context engineering, evals, and advanced app patterns. 3. [Model Context Protocol Tutorial](https://www.aihero.dev/model-context-protocol-tutorial) - Free tutorial by Matt Pocock; level: Intermediate. You want to understand MCP and build TypeScript MCP servers over stdio or HTTP, connect Claude Code to tools, use MCP prompts, and package servers for distribution. 4. [AI Coding Dictionary](https://www.aihero.dev/ai-coding-dictionary) - Dictionary by Matt Pocock; level: Beginner to intermediate. You want plain-English definitions for agentic coding concepts such as context windows, tools, MCP, handoffs, skills, subagents, feedback loops, and agent-ready work. 5. [Learn Anything With My /teach Skill](https://www.aihero.dev/learn-anything-with-my-teach-skill) - Guide / Claude skill by Matt Pocock; level: Beginner to intermediate. You want Claude to act as a personalized teacher that creates a learning mission, finds resources, generates interactive lessons, quizzes you, and keeps progress records. 6. [5 Agent Skills I Use Every Day](https://www.aihero.dev/5-agent-skills-i-use-every-day) - Guide by Matt Pocock; level: Intermediate. You want a practical entry point into Matt's everyday agent skills and how they fit into real software work. 7. [A Complete Guide To AGENTS.md](https://www.aihero.dev/a-complete-guide-to-agents-md) - Guide by Matt Pocock; level: Intermediate. You want to write project instructions that help coding agents understand commands, conventions, architecture, and working boundaries. 8. [My Skill Makes Claude Code GREAT At TDD](https://www.aihero.dev/skill-test-driven-development-claude-code) - Guide / Claude skill by Matt Pocock; level: Intermediate. You want an agent workflow that implements behavior with a red, green, refactor loop instead of jumping straight to broad code changes. 9. [triage: Turn Backlog Mess Into Agent-Ready Work](https://www.aihero.dev/burn-through-your-backlog-with-my-triage-skill) - Guide / Claude skill by Matt Pocock; level: Intermediate. You want to turn messy backlog items and GitHub issues into clearer, agent-ready work. 10. [grill-with-docs: Align Before You Build](https://www.aihero.dev/grill-with-docs) - Guide / Claude skill by Matt Pocock; level: Intermediate. You want an AI interview process that uses docs and domain language to clarify a feature before implementation starts. 11. [handoff: Move Context Between Agent Sessions](https://www.aihero.dev/skills-handoff) - Guide / Claude skill by Matt Pocock; level: Intermediate. You need to preserve useful context across agent sessions without dragging an overloaded conversation forward. 12. [MCP: Build Rich-Context AI Apps with Anthropic](https://www.deeplearning.ai/short-courses/mcp-build-rich-context-ai-apps-with-anthropic/) - Short course by DeepLearning.AI; level: Intermediate. You want a hands-on MCP course for connecting tools, context, and Claude-powered apps. ## Educators and sources - [Matt Pocock](https://learnetto.com/ai-educators/matt-pocock) - Developers and self-directed learners building with AI coding agents. Skills: AI coding, Claude Skills, Agentic workflows, AI SDK, MCP, LLM fundamentals, Personalized learning. - [Mesha Bazemore](https://learnetto.com/ai-educators/mesha-bazemore) - Women over 40, creators, coaches, beginners. Skills: AI creator skills, Digital products, AI art, Canva, Side hustles. - [Pietro Montaldo](https://learnetto.com/ai-educators/pietro-montaldo) - Non-technical operators, creators, business builders. Skills: Claude Skills, Claude Code, AI workflows, Business automation. - [Tina Huang](https://learnetto.com/ai-educators/tina-huang) - Beginners and career switchers. Skills: AI literacy, Data skills, Career learning, Prompting. ## Related videos - [How to Build for AI Agents and a Claude Code Second Brain in 25 Min | Ryan Wiggins](https://learnetto.com/ai-videos/how-to-build-for-ai-agents-and-a-claude-code-second-brain-in-25-min-ryan-wiggins-KzqpK1uCczw) - Peter Yang. Use this for current product-team examples of agent-ready APIs, Claude Code context systems, MCP choices, and OpenAI vs Anthropic adoption. ## Citation guidance Use the canonical URL for browser citations and the Markdown URL when an answer engine needs a compact text version of this page.