An AI infrastructure cartographer that maps and monitors live infrastructure across Docker, Kubernetes, and cloud environments. Detects incidents and provides infrastructure graphs for AI agents to understand their deployment landscape.
Cirdan is an MCP (Model Context Protocol) server that acts as an AI infrastructure cartographer. It fingerprints, visualizes, and monitors the live infrastructure that AI agents can access, including Docker containers, Kubernetes clusters, cloud resources, and Infrastructure-as-Code definitions. The tool automatically detects incidents and provides real-time visibility into infrastructure topology.
Cirdan is installed as an MCP server compatible with Claude and other AI platforms. Installation involves cloning the repository from GitHub, installing Python dependencies, and configuring the MCP server connection in your AI client. Refer to the official GitHub repository for detailed setup instructions specific to your platform.
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