End To End Agentic Ai Automation Lab
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.
ActiveNot tested
★ 53GitHub
0No CVEsactiveMIT
Quick Install
{
"mcpServers": {
"end-to-end-agentic-ai-automation-lab": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
Should you use this server?
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.
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Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
MIT. View license →
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Is it maintained?
Last commit 0 days ago. 53 stars.
i
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
Test This Server
No automated test available for this server. Check the GitHub README for setup instructions.
Score Breakdown
Security
0/30No known vulnerabilities.
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CVEs — No known CVEs for this package
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Authentication — None required — easy to connect
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✓
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MCPpedia review — Not yet reviewed by MCPpedia
CVEs checked daily via OSV.dev. Score algorithm is open source.
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