omerbsezer/Fast-LLM-Agent-MCP
📦 Open Source Projectomerbsezer
A comprehensive repository for mastering LLM agents, MCP tools, and modern AI development frameworks.
The Fast-LLM-Agent-MCP repository is a curated collection of technical resources designed to bridge the gap between AI fundamentals and advanced agentic system design. It focuses on the practical implementation of LLM-based agents, emphasizing the Model Context Protocol (MCP) for seamless tool integration. The repository includes modular code examples for building multi-agent systems using LangGraph, leveraging AWS Bedrock for scalable infrastructure, and utilizing Google’s Agent Development Kit (ADK). Key features include tutorials on RAG (Retrieval-Augmented Generation), fine-tuning strategies, and workflow orchestration. By providing hands-on implementations for various agent frameworks, it allows developers to experiment with different architectures, from simple task-oriented bots to complex, multi-agent collaborative systems. The project is highly relevant for engineers aiming to standardize how agents interact with external data and tools via the MCP standard.
💡Highlights
- ├─Covers LangChain & LangGraph
- ├─Implements MCP tool standards
- └─Includes AWS & Google ADK
🎯For
- ├─AI Engineers
- ├─Backend Developers
- └─Solutions Architects