No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by WagnerAgent · MCP Server · ★ 97
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-mcp-servers-devops safe to install? View the security audit →
Awesome MCP Servers for DevOps A curated list of Model Context Protocol servers for DevOps workflows — infrastructure, CI/CD, monitoring, security, and cloud operations. Curated by Wagner — The first AI DevOps teammate Star History Contents Source Control Infrastructure as Code Kubernetes and Containers Command Line and Local Ops Browser Automation Code Execution Coding Agents Aggregators CI/CD Cloud Platforms Observability Security Collaboration Getting Started 🔀 Source Control GitHub The official GitHub MCP server — battle-tested and feature-complete. Repository operations, issues, PRs, code search, GitHub
| Stars | 97 |
| Forks | 57 |
| Category | MCP Server |
| License | CC0-1.0 |
| Quality Score | 58.7489732151864/100 |
| Open Issues | 5 |
| Last Updated | 2026-09-15 |
| Created | 2025-12-10 |
| Platforms | aws, k8s, mcp |
| Est. Tokens | ~13k |
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awesome-mcp-servers-devops is A curated, DevOps-focused list of Model Context Protocol (MCP) servers—covering source control, IaC, Kubernetes, CI/CD, cloud, observability, security, and collaboration—with a bias toward maintained,. It is categorized as a MCP Server with 97 GitHub stars.
You can find installation instructions and usage details in the awesome-mcp-servers-devops GitHub repository at github.com/WagnerAgent/awesome-mcp-servers-devops. The project has 97 stars and 57 forks, indicating an active community.
awesome-mcp-servers-devops is released under the CC0-1.0 license, making it free to use and modify according to the license terms.
The top alternatives to awesome-mcp-servers-devops on Agent Skills Hub include Wazuh-MCP-Server, FirstData, mcp-gitlab-server. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: