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adanb13/cirdan

by Various

AI infrastructure cartographer and operations daemon — Graphify for live infrastructure. Fingerprints, graphs, and watches Docker/Kubernetes/AWS/IaC for AI agents via CLI + MCP.

A

MCP

adanb13/cirdan

Added 16 June 2026

#agent-skills #ai-agents #aiops #claude-code #codex #cursor #devops #docker

Overview

adanb13/cirdan is an infrastructure cartographer and operations daemon. It fingerprints, graphs, and monitors Docker, Kubernetes, AWS, and IaC resources, providing live infrastructure context to AI agents via CLI and MCP. The tool generates graph representations of infrastructure for agent awareness.

Best for

Best for
Developers building AI agents that need real-time awareness of live infrastructure

Use cases

  • Graphifying live infrastructure for AI agent context
  • Fingerprinting and monitoring Docker, Kubernetes, AWS, and IaC
  • Providing real-time infrastructure changes to agents via MCP

Notes

adanb13/cirdan is an infrastructure cartographer and operations daemon. It fingerprints, graphs, and monitors Docker, Kubernetes, AWS, and IaC resources, providing live infrastructure context to AI agents via CLI and MCP. The tool generates graph representations of infrastructure for agent awareness.

0 stars on GitHub. Last updated 2026-06-16. Licensed Apache-2.0.

Use cases

  • Graphifying live infrastructure for AI agent context
  • Fingerprinting and monitoring Docker, Kubernetes, AWS, and IaC
  • Providing real-time infrastructure changes to agents via MCP

Pros

  • Provides live infrastructure graphs to AI agents
  • Supports multiple infrastructure types (Docker, K8s, AWS, IaC)
  • Integrates via CLI and MCP for agent automation

Cons

  • Very new project with zero stars and limited community
  • Requires setup and configuration for existing environments
  • May not cover all infrastructure scenarios or edge cases

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Provides live infrastructure graphs to AI agents
  • Supports multiple infrastructure types (Docker, K8s, AWS, IaC)
  • Integrates via CLI and MCP for agent automation

Cons

  • Very new project with zero stars and limited community
  • Requires setup and configuration for existing environments
  • May not cover all infrastructure scenarios or edge cases