@omerbsezer
Basic information
This repo covers LLM, Agents, MCP Tools, Skills concepts with sample codes: LangChain & LangGraph, AWS Strands Agents, Google Agent Development Kit, Fundamentals.
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
This is a comprehensive educational repository covering LLM architectures, RAG, fine‑tuning, agents, MCP tools, and skills both theoretically and practically. It provides sample codes using LangChain & LangGraph (v1.0.0), AWS Strands Agents, and Google Agent Development Kit (ADK).
Clone the repository and navigate to the relevant sample directories under agents/ for each framework. No specific server configuration or invocation command is documented; users should follow the individual sample READMEs or setup instructions inside each directory.
This repository combines theoretical explanations with practical sample codes across three agent frameworks (LangChain/LangGraph, AWS Strands, Google ADK) and includes MCP tool integration examples.
The README does not explicitly list requirements, but samples use LangChain & LangGraph (v1.0.0), AWS Strands Agents, and Google ADK, which typically require Python and respective SDKs. Some samples use Streamlit for UI.
All sample codes and reference documents are stored within this GitHub repository under the `agents/` directory, organized by framework.
No, this is a learning repository that demonstrates MCP concepts and includes sample integrations of local and remote MCP tools within agents.
The READ
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