MCP Server

End-to-End-Agentic-Ai-Automation-Lab

by MDalamin5

This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.

48 stars25 forksActiveJupyter Notebook
79
Good

📊 Score Breakdown

🛡️Security30%
5.0/5
Utility30%
2.0/5
🔄Maintenance25%
5.0/5
💎Uniqueness15%
4.0/5

Overall = Security (30%) + Utility (30%) + Maintenance (25%) + Uniqueness (15%). Full methodology →

ℹ️ Details

Category

☁️ Cloud Platforms

Ecosystem

MCP Server

Language

Jupyter Notebook

Pricing

Free

License

MIT

Status

Active

Platforms

claude

📈 GitHub Signals

48

Stars

25

Forks

0

Commits (30d)

0

Open Issues

Last commit: 2 days ago

agentic-aiagentic-ragagnoambient-aiautogenawsdockergoogle-adk

Data last verified: Yesterday. See something wrong? Report it →