Agentic AI Engineering is a production-grade engineering resource for building modern agentic AI systems with LangChain, LangGraph, RAG, MCP...
MCP Servers
Curated MCP Servers for building with Claude.
Stop building AI agents from scratch. Bootstrap starter Agent app with LangGraph, CopilotKit, and beautiful Generative UIs.
PowerPoint Slide Editing Agent, accepted at ACL 2026 Findings
This workshop covers fundamentals of Building AI Agents on Akamai Cloud
HPC aggregation pipeline and API/MCP server for LLM-mediated biomedical data integration
Model Context Protocol (MCP) server for Graphlens. Exposes polyglot code graphs to LLM agents.
This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, Auto...
LLM-RAG-Agent-Tutorial for AI application developers and researchers.
🦜✨ Chat system, MCP server, and reusable components to improve LLMs capabilities when generating SPARQL queries
Learn to build AI agents with Strands framework. Covers LLM integration via Amazon Bedrock/Anthropic, AWS service connections, tool implemen...
An introduction to the world of AI Agents
MCP server for managing ad campaigns across Google Ads, Meta Ads, LinkedIn Ads, and TikTok Ads. 100+ tools for campaign creation, performanc...
Fantasy Premier League Kotlin/Compose Multiplatform sample
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
Auto-updating archive of Anthropic docs, engineering posts, MCP spec, cookbooks, skills, and plugins. 2,900+ files from 11 sources.
Study materials, code examples, and practice scenarios for Anthropic's Claude Certified Architect: Foundations (CCA-F) certification exam. C...
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
Save thousands of lines of code by building universal, domain-agnostic Multi-Agent Systems (MAS) through high-level semantic orchestration....
🪐 🤖 AI Agents for JupyterLab with 🔧 MCP tools - Chat interface for optimized notebook interaction and code execution.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET,...
Labs to explore AI Models, MCP servers, and Agents with the AI Gateway powered by Azure API Management and Microsoft Foundry 🚀