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Cisco ACI Agent

Enables AI agents to interact and manage Cisco Application Centric Infrastructure (ACI) environments.

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This project provides a straightforward Model Context Protocol (MCP) server designed to bridge the gap between advanced AI agents and your Cisco Application Centric Infrastructure (ACI) deployments. By exposing specific tools for APIC interaction, it allows platforms like Claude Desktop and VS Code Copilot to intelligently query, configure, and manage your ACI fabric, transforming complex network operations into conversational commands. It supports both local execution via STDIO mode and containerized deployment with Docker, making it a flexible solution for enhancing network automation with AI.

Características Principales

  • Supports local STDIO mode execution
  • 3 GitHub stars
  • Configurable via environment variables
  • Integrates with AI agents like Claude Desktop and VS Code Copilot
  • Exposes tools for Cisco APIC interaction
  • Offers Docker containerization support

Casos de Uso

  • Automating Cisco ACI network configurations and queries using natural language
  • Integrating AI-driven insights and actions into ACI fabric management
  • Developing and testing custom AI-powered tools for network operations