End To End Agentic Ai Automation Lab MCP Server

v1.0.0Developer Toolsstable

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.

agentic-aiagentic-ragambient-aiautogendeep-agents
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About

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.

Features

  • This repository contains hands-on projects, code examples, a

Use Cases

This repository contains hands-on projects, code examples, and deployment workfl
MDalamin5

Maintainer

LicenseMIT
Languagejupyter notebook
Versionv1.0.0
UpdatedMay 20, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx end-to-end-agentic-ai-automation-lab

Examples

Basic Configuration

Configure End To End Agentic Ai Automation Lab MCP Server

npx end-to-end-agentic-ai-automation-lab

Configuration

Configuration Details

Config File

claude_desktop_config.json

Web UI

Not available

Security

Authentication

RequiredNo

Features

Data Encryption
Audit Logging
RBAC Support

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

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Set Up End To End Agentic Ai Automation Lab MCP Server in Your Editor

Choose your AI client for step-by-step setup instructions.

Quick Config Preview

{ "mcpServers": { "end-to-end-agentic-ai-automation-lab": { "command": "npx", "args": ["-y", "end-to-end-agentic-ai-automation-lab"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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