🚀 개요

MCPyATS는 Model Context Protocol (MCP) 및 Cisco pyATS를 통해 네트워크 작업을 자동화 할 수있는 지능형 분산 에이전트를 구축합니다.

그것은 여러 도구 통합 MCP 서버, LangGraph 에이전트 백엔드, Streamlit UI 프런트 엔드, 및 A2A (Agent-to-Agent) 통신에 대한 지원이 포함되어 있습니다.

MCP는 무엇입니까?

Anthropic의 모델 Context Protocol (MCP)은 MCP Servers와 같은 상호 운용성을 제공하는 프로토콜이며, 도구가 노출되고 MCP Clients는 에이전트가 실행되는 곳입니다. 다른 에이전트와 도구 간의 통신 할 수있는 표준화 된 방법을 허용하여 원활하게 작동 할 수 있습니다.

Agent-to-Agent (A2A)는 무엇입니까?

Google의 Agent-to-Agent (A2A) 프로토콜은 에이전트가 서로 소통하고 협력하도록 표준화 된 방법입니다. 작업, delegate responsibilities 및 구조화된 방식으로 교환 정보를 공유할 수 있습니다.

LangGraph 란 무엇입니까?

LangGraph는 자연 언어를 사용하여 작업을 수행 할 수있는 AI 에이전트 구축 및 배포하기위한 프레임 워크입니다.

🧠 MCPyATS: AI-Powered Network Automation with MCP + Cisco pyATS

🚀 Overview

MCPyATS brings together the Model Context Protocol (MCP) and Cisco pyATS to build intelligent, distributed agents capable of automating network tasks via natural language.

It includes multiple tool-integrated MCP servers, a LangGraph agent backend, a Streamlit UI frontend, and support for A2A (Agent-to-Agent) communication.

🌐 What is MCP?

The Model Context Protocol (MCP) from Anthropic is a protocol that offers USB-C like interoperability between MCP Servers, where tools are exposed, and MCP Clients, where the agent is running. It allows for a standardized way to communicate between different agents and tools, enabling them to work together seamlessly.

What is Agent-to-Agent (A2A)?

The Agent-to-Agent (A2A) protocol from Google is a standardized method for agents to communicate and collaborate with each other. It allows agents to share tasks, delegate responsibilities, and exchange information in a structured manner.

What is LangGraph?

LangGraph is a framework for building and deploying AI agents that can reason, plan, and execute tasks using natural language. It provides a set of tools and libraries for creating agents that can interact with various services and APIs, making it easier to build complex automation workflows.

What is pyATS?

Cisco pyATS (Python Automated Test Systems) is a framework for automating network testing and validation. It provides a set of tools and libraries for creating and executing tests on network devices, making it easier to validate configurations, performance, and functionality.

What is Streamlit?

Streamlit is an open-source app framework for Machine Learning and Data Science projects. It allows you to create beautiful web applications for your data science projects with minimal effort. You can use Streamlit to build interactive dashboards, visualizations, and user interfaces for your AI agents.

What is MCPyATS?

MCPyATS is a framework that combines the Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, LangGraph, and Cisco pyATS to create intelligent, distributed agents capable of automating network tasks via natural language. It includes multiple tool-integrated MCP servers, a LangGraph agent backend, a Streamlit UI frontend, and support for A2A (Agent-to-Agent) communication.

MCPyATS is designed to be modular and extensible, allowing you to easily add new tools and services as needed. It provides a standardized way to communicate between different agents and tools, enabling them to work together seamlessly.

MCPyATS is built on top of Docker, making it easy to deploy and run in any environment. It includes a set of pre-built Docker images for all the MCP servers and the LangGraph agent, making it easy to get started with minimal setup.

📚 Table of Contents

• Overview
• Repository Structure
• Quick Start