by papadopouloskyriakos · MCP Server · ★ 106
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agentic-chatops AI agents that triage infrastructure alerts, investigate root causes, and propose fixes — while a solo operator sleeps. For the complete technical reference, see README.extensive.md. The Problem One person. 310+ infrastructure objects across 6 sites. 3 firewalls, 12 Kubernetes nodes, self-hosted everything. When an alert fires at 3am, there's no team to call. There never is. The Solution Three agentic subsystems that handle the detective work — ChatOps (infrastructure), ChatSecOps (security), ChatDevOps (CI/CD) — built on n8n orchestration, Matrix as the human interface, and a tiered agent architecture (deterministic triage scripts → Claude Code → human). The human stays in the loop for every infrastructure change: the system never acts without a thumbs-up or poll vote, and since 2026-06-09 a remediation proposal cannot even reach the approval poll without a machine-computed consequence prediction attached (see Infragraph below). What Makes This Different Self-Improving Prompts — now with A/B trials (nobody else does this) The system evaluates its own performance and auto-patches its prompts.
| Stars | 106 |
| Forks | 27 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 59.820484513866/100 |
| Last Updated | 2026-06-30 |
| Created | 2026-03-24 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~21k |
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agentic-chatops is 3-tier agentic ChatOps (n8n + GPT-4o + Claude Code) implementing all 21 patterns from "Agentic Design Patterns" — solo operator managing 137 devices. It is categorized as a MCP Server with 106 GitHub stars.
agentic-chatops is primarily written in Python. It covers topics such as agentic-ai, chatops, claude-code.
You can find installation instructions and usage details in the agentic-chatops GitHub repository at github.com/papadopouloskyriakos/agentic-chatops. The project has 106 stars and 27 forks, indicating an active community.
The top alternatives to agentic-chatops on Agent Skills Hub include OmoiOS, agent-skills, coolify-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.