An MCP server for Azure DevOps

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, production-ready integrations.

Agent-ready DevOps, security, infrastructure, and compliance knowledge base with 80+ skills across Kubernetes, Terraform, AWS/Azure/GCP, AI platform operations, container hardening, SOC2/ISO27001, and incident response—plus ready-to-run scripts, templates, and playbooks for SRE, platform, and security teams.

Bulk port forwarding Kubernetes services for local development.

Share your terminal in the browser in seconds. eg. Vibe Coding with Claude Code / Gemini CLI on your iPad!

Cloud Native Agentic AI | Discord: https://bit.ly/kagentdiscord

Lightweight AI-friendly Docker Swarm management

The container platform tailored for Kubernetes multi-cloud, datacenter, and edge management ⎈ 🖥 ☁️

🐚 Python-powered shell. Full-featured, cross-platform and AI-friendly.

Bitbucket CLI with gh-like ergonomics

Secure MCP runtime for AI agents to operate local machines, servers, and containers with multi-device orchestration.

An implementation of Model Context Protocol (MCP) server for Argo CD.

🦍 The API and AI Gateway

GitHub-style CLI for Jenkins — manage contexts, runs, logs, and admin tasks from your terminal.

🏠 Tells you what changed on your server — only what's worth telling. Single Go binary, no daemon, no database, MCP server built in.

Modular MCP server for OPNsense firewall management - 88 tools providing access to 2000+ methods through AI assistants

A modern, container-friendly, optionally-distributed, fault-tolerant, highly available, leader-electing, highly configurable, precompiled, multi-architecture, portable, security-hardened, production-ready cron replacement

🥷 A code-first, strongly-typed build automation system for Deno.

VMware vCenter/ESXi AI-powered monitoring and operations. Two skills: vmware-monitor (read-only, safe) and vmware-aiops (full operations) | Claude Code Skill

CLI for exploring Spot instance pricing across AWS, GCP and Azure. Inspect Spot instance types, savings, price, and AWS interruption frequency — offline, from embedded data.

Local-first, self-hosted AI agent runtime and MCP bridge with sandboxed sessions, memory, credentials, audit/replay, and a local Console.

A lightweight service that enables AI assistants to execute AWS CLI commands (in safe containerized environment) through the Model Context Protocol (MCP). Bridges Claude, Cursor, and other MCP-aware AI tools with AWS CLI for enhanced cloud infrastructure management.

All-in-one Kubernetes SDK: create, manage, and operate clusters across distributions (Kind, K3d, Talos, VCluster) with built-in GitOps, secrets, AI assistant, and MCP server. Only requires Docker or a Cloud Provider.

Practical patterns, starters & CLI tools for loop engineering with AI coding agents. Design systems that prompt and orchestrate agents (inspired by Addy Osmani and Boris Cherny). Includes loop-audit, loop-init, loop-cost.