Hands-on tutorials for Claude Code, AI agents, cloud and system design
An MCP server is a program that provides context to an AI application through the Model Context Protocol. It exposes tools, data and prompt templates over a standard interface, so any client that speaks the protocol can use it without custom integration work on either side. MCP server: What You’ll Learn This guide defines what… Continue reading
Agentic frameworks turn a raw LLM into a dependable agent. Here we look at the frameworks, platforms, and protocols you actually install and ship on AWS: LangChain, Strands Agents, CrewAI, AutoGen, MCP, and A2A. Agentic Frameworks: What You’ll Learn Agentic frameworks encode the critical plumbing (prompt assembly, tool calling, retry loops, memory, tracing) so you… Continue reading
Connect Claude Code to external services via MCP servers for live data access from GitHub, databases, Slack, and more.
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MCP Course by Hugging Face is the official Model Context Protocol curriculum, built in partnership with Anthropic. Alex Notov, Anthropic Technical Partner Enablement Lead, co authored Unit 3. Four units plus bonus. Free. Two certificates, Fundamentals for completing Unit 1, Completion for completing Units 2 and 3. Capstone is a PR Agent Workflow Server that… Continue reading
MCP configuration is the difference between a Claude Code setup that quietly stalls on a broken server and one that runs dozens of tools across local processes, remote HTTPS endpoints, and enterprise allowlists without friction. This guide goes past the install step and into the transport, scope, authentication, and tool-search decisions that make a fleet… Continue reading