MCP Fusion - The TypeScript framework for secure MCP servers.

The Model Context Protocol (MCP) is an open-source implementation that bridges Jenkins with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI interactions with Jenkins tools while maintaining data privacy and security.

Govern consequential AI agent actions in Docker with deterministic policy, human approval, and signed Decision Dossiers.

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.

ToolHive is an application that allows you to install, manage and run MCP servers and connect them to AI agents

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.

Harness’ official MCP Server

Published in CNCF Landscape: A MCP server for Kubernetes.

A Model Context Protocol (MCP) server that enables AI assistants to interact with AKS clusters. It serves as a bridge between AI tools (like Claude, Cursor, and GitHub Copilot) and AKS.

A collection of structured AI agent skills that enable Claude Code, Cursor, GitHub Copilot, and other AI coding assistants to create, operate, debug, and govern Harness CI/CD workflows through natural language.

The Proxmox MCP you can hand the keys. All four products: PVE, PBS, PMG, PDM.

Windows Computer Use for AI Agents. Both a tool (22 MCP tools for click, type, screenshot, OCR, UI inspection) and an agent (autonomous mission engine, macro recorder, intent-based discovery, event watchers). Built with opencode (DeepSeek V4). Ships as MCP server, web UI, and Tauri desktop app.