12 skills found
devopness / devopnessDevopness: AI DevOps on your cloud. Deploy apps, infra and CI/CD. Any cloud and any stack, one MCP. Deterministic API, opinionated and fully configurable. No cloud credentials in AI chats. Free plan.
peterfei / ai-agent-teamAI Agent Team-拥有24/7专业AI开发团队：产品经理、前端开发、后端开发、测试工程师、DevOps工程师、技术负责人。一键安装，支持中英文命令，大幅提升开发效率！
bvisible / mcp-ssh-managerMCP SSH Server: 37 tools for remote SSH management | Claude Code & OpenAI Codex | DevOps automation, backups, database operations, health monitoring
LessUp / awesome-cursorrules-zhCursor AI 编程规则精选集 | 132+ 规则，覆盖前端/后端/AI/DevOps 等 32 个领域
erevusobolus / THERION-SYSTEMThe Mindset Your AI Is Missing Like hiring an entire team. Except it's free. 67 specialists across 12 professional fields — security auditor, business strategist, project manager, database architect, DevOps engineer, and more. Your AI reads your question and the right specialist responds. No menus.
StephanSchmidt / loupeOpen-source CLI that measures AI coding-assistant impact (Claude Code, Copilot, Cursor, Aider) across Bitbucket+Jira, GitHub, GitLab, Azure DevOps, or Linear — and renders a reveal.js exec deck. Runs locally, no SaaS, no data leaves your environment.
viamus / mcp-azure-devopsAzure DevOps MCP for querying repositories, pipelines, work items, and delivery metadata via HTTP
bitflight-devops / mcp-json-yaml-tomlA structured data reader and writer like 'jq' and 'yq' for AI Agents
badowhp / senior-devops-engineerOperate infrastructure, CI/CD, and production safely. Use for IaC, cloud, containers, Kubernetes, observability, CDN/edge caching, rollout, rollback, reliability, and cost; use security-engineer for threats.
lancejames221b / agent-hivemindClaudeOps hAIveMind - Distributed AI collective memory MCP server for DevOps automation and multi-agent coordination
devopstales / skillgrid-gitnexusThe agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for ai-agents.
gumissek / hosting-analysis.plJesteś lead architektem DevOps i infrastruktury chmurowej, któremu powierzono zadanie zaprojektowania optymalnych scenariuszy wdrożenia produkcyjnego dla aplikacji webowej. Oto stos technologiczny aplikacji: <tech_stack> @tech-stack.md </tech_stack> <app_context>
