patchy631/ai-engineering-hub
AI Engineering Hub offers in-depth tutorials and practical resources on Large Language Models, Retrieval-Augmented Generation, and real-world AI agent applications for all skill levels.
Awesome MCP › MCP Resources & Educational Materials
MCP Resources & Educational Materials
NirDiamant/GenAI_Agents
This repository offers a comprehensive collection of over 50 tutorials and implementations for Generative AI Agent techniques, ranging from basic conversational bots to complex multi-agent systems,...
NirDiamant/agents-towards-production
This repository offers end-to-end, code-first tutorials for building and deploying production-grade Generative AI agents, scaling from prototype to enterprise.
microsoft/mcp-for-beginners
An open-source curriculum designed to teach the concepts and fundamentals of the Model Context Protocol (MCP) with practical coding examples in multiple programming languages.
Arindam200/awesome-ai-apps
A comprehensive collection of practical examples, tutorials, and tools for building powerful LLM-powered AI applications, including chatbots, agents, and workflows, with a focus on the Model Context Protocol (MCP).
modelcontextprotocol/modelcontextprotocol
The Model Context Protocol project provides a standardized specification and schema for managing model context to enable interoperability in model-driven systems.
heilcheng/awesome-agent-skills
A curated repository of modular skills, tools, and tutorials for enhancing AI coding agents like Claude, Codex, Copilot, and VS Code through dynamic instruction files.
ashishps1/learn-ai-engineering
A comprehensive curated collection of free resources to learn AI, Machine Learning, Large Language Models, AI Agents, and the Model Context Protocol from scratch.
zebbern/claude-code-guide
A comprehensive and detailed guide for Claude Code CLI tool, covering all commands, installation, configuration, and Model Context Protocol (MCP) integration for optimized use.
panaversity/learn-agentic-ai
Learn Agentic AI using the Dapr Agentic Cloud Ascent (DACA) design pattern integrating OpenAI Agents SDK, Model Context Protocol (MCP), and Kubernetes to build scalable multi-agent AI systems capable of handling 10 million concurrent agents.
joreilly/PeopleInSpace
PeopleInSpace is a Kotlin Multiplatform project showcasing cross-platform UI development and backend integration, including an MCP server module for Model Context Protocol data services.
jeremylongshore/claude-code-plugins-plus-skills
Claude Code Skills & Plugins Hub is a comprehensive collection of AI-embedded plugins and skills with interactive tutorials designed to build and verify production agent workflows, relevant to Model Context Protocol (MCP).
a2aproject/a2a-samples
This repository provides code samples and demos for implementing and understanding the Agent2Agent (A2A) Protocol, focusing on secure communication between autonomous agents.
modelcontextprotocol/quickstart-resources
A repository providing server and client examples from Model Context Protocol tutorials to help users quickly learn and implement MCP.
Azure-Samples/AI-Gateway
Azure-Samples/AI-Gateway is a project demonstrating the AI Gateway pattern with Azure API Management, integrating AI services like Azure OpenAI and Model Context Protocol to enable secure, efficient, and innovative AI service management and experimentation.
strands-agents/samples
Strands Agents Samples is a repository providing educational and demonstration examples for building AI agents using a model-driven approach with the Strands Agents SDK, supporting learning and experimentation in AI agent development.
Puliczek/awesome-mcp-security
Awesome MCP Security is a comprehensive curated resource repository focused on the security aspects, best practices, research, and tools related to the Model Context Protocol (MCP).
ai-boost/awesome-a2a
A curated collection of resources, tools, and implementations for the Google Agent2Agent (A2A) Protocol enabling secure communication and collaboration between AI agents from different vendors and frameworks.
the-ai-merge/multimodal-agents-course
An open-source course teaching developers to build MCP-based multimodal AI agents capable of processing images, text, audio, and video, with a focus on video processing and production-ready AI systems.
NicholasGoh/fastapi-mcp-langgraph-template
A modern, scalable template integrating Model Context Protocol (MCP) and LangGraph for rapid development and deployment of context-aware large language model applications.
punkpeye/awesome-mcp-devtools
A curated list of developer tools, SDKs, libraries, and utilities for Model Context Protocol (MCP) server development.
vercel-labs/mcp-for-next.js
An example Next.js MCP server implementation using @vercel/mcp-adapter for integrating Model Context Protocol functionality into Next.js applications, optimized for deployment on Vercel.
joreilly/ClimateTraceKMP
ClimateTraceKMP is a Kotlin/Compose Multiplatform project that visualizes climate-related emission data from climatetrace.org across multiple platforms including iOS, Android, Desktop, and Web.
gerred/building-an-agentic-system
An in-depth practical guide and reference on architecture patterns for building responsive, reliable AI coding agents like Claude Code.
sinanuozdemir/oreilly-ai-agents
A comprehensive educational repository and course materials for understanding, implementing, and managing AI agents, with practical examples and integration of Model Context Protocol (MCP).
sidharthrajaram/mcp-sse
An SSE-based implementation pattern for Model Context Protocol (MCP) clients and servers enabling decoupled, cloud-native client-server communication.
cyanheads/model-context-protocol-resources
A comprehensive repository of practical guides, utilities, and server implementations for exploring and learning the Model Context Protocol (MCP), an open standard for connecting AI applications to external tools and data sources.
appsecco/vulnerable-mcp-servers-lab
Lab of intentionally vulnerable MCP server implementations, local and remote, built by Appsecco for hands-on training on prompt injection, code execution, secret exposure and supply-chain risks.
decodingai-magazine/enterprise-mcp-course
An open-source project and course for building scalable, enterprise-grade AI automation systems using the Model Context Protocol, demonstrated through a Pull Request Reviewer integrated with GitHub, Slack, and Asana.
udecode/plate-playground-template
A modern Next.js 15 template integrating the Plate AI editor with Model Context Protocol (MCP) for building AI-enhanced rich text editing applications.
sing1ee/a2a-directory
sing1ee/a2a-directory is a comprehensive resource directory for Google's Agent2Agent (A2A) protocol, facilitating secure and asynchronous communication and collaboration between AI agents across diverse platforms and languages.
pab1it0/awesome-a2a
Awesome A2A is a curated repository of resources, server implementations, clients, frameworks, and utilities for the Agent2Agent (A2A) protocol, enabling interoperable communication and collaboration between AI agents.
aieducations/edumcp
EDUMCP is an open platform protocol built on the Model Context Protocol (MCP) that enables seamless interoperability among AI models, educational applications, and smart hardware to deliver personalized and interactive learning experiences in education.
AlexMili/Awesome-MCP
A curated awesome list of MCP servers, clients, SDKs and tools organised by use case, with auto-refreshed tables showing implementation language, repository activity and star counts.
badkk/awesome-crypto-mcp-servers
A curated list of MCP servers for cryptocurrency and blockchain use, covering onchain data, exchange APIs, market indicators and wallet operations, with tutorials.
Tsadoq/a2a-mcp-tutorial
An end-to-end tutorial building a complete agentic pipeline with Anthropic's Model Context Protocol and Google's Agent2Agent protocol.
aws-samples/sample-agentic-ai-demos
A collection of AWS sample modules that build agentic AI applications on Amazon Bedrock, several of which pair MCP clients and servers over stdio and SSE in TypeScript, Python, Java and Kotlin on ECS.
aws-samples/sample-agents-with-nova-act-and-mcp
AWS sample repository showing how to build web automation agents with Amazon Nova Act, including a paired MCP server and client that expose browser control to Claude Desktop and Bedrock models.