Enables AI agents to interact and manage Cisco Application Centric Infrastructure (ACI) environments.
Sponsored
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.
Key Features
01Supports local STDIO mode execution
023 GitHub stars
03Configurable via environment variables
04Integrates with AI agents like Claude Desktop and VS Code Copilot
05Exposes tools for Cisco APIC interaction
06Offers Docker containerization support
Use Cases
01Automating Cisco ACI network configurations and queries using natural language
02Integrating AI-driven insights and actions into ACI fabric management
03Developing and testing custom AI-powered tools for network operations
