End-to-End-Agentic-Ai-Automation-LabNEW
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.
Compatibility Index
Python
RuntimeVerified via documentation
Docker
ContainerizationVerified via documentation
AWS
Cloud PlatformVerified via documentation
GitHub Actions
CI/CDVerified via documentation
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AgentIndex is the definitive directory for AI Agents, MCP Servers, and developer tools. We curate high-quality, open-source resources to help developers build the next generation of AI applications. Whether you are looking for autonomous agents, RAG frameworks, or IDE rules for Cursor and Windsurf, AgentIndex provides a centralized, searchable database to accelerate your development workflow.
What are MCP Servers?
The Model Context Protocol (MCP) is an open standard that enables AI models to securely interact with external data and tools. MCP Servers act as bridges, allowing Large Language Models (LLMs) like Claude and Gemini to access local files, databases, and APIs without direct integration. AgentIndex lists hundreds of ready-to-use MCP servers to enhance your AI's capabilities and context awareness.

