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.
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.
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ToolHive is an application that allows you to install, manage and run MCP servers and connect them to AI agents
Harness’ official MCP Server
App for Codex / Claude Code / Pi / OpenCode / Kimi Code / Grok Build, vibe coding anytime, anywhere
MCP Fusion - The TypeScript framework for secure MCP servers.

Public repository for Advanced Unity MCP by Code Maestro (www.code-maestro.com).
MCP Server for the Bitrise API, enabling app management, build operations, artifact management and more.
APISIX Model Context Protocol (MCP) server is used to bridge large language models (LLMs) with the APISIX Admin API.
Published in CNCF Landscape: A MCP server for Kubernetes.
Official Pulumi Agent Skills for writing, migrating, and operating infrastructure with AI coding agents
Yet another WebUI for Nginx
Deno skills for AI coding assistants. Covers using Deno as a package manager and runtime, migrating from npm/yarn/pnpm/bun, Fresh, and Deno Deploy.
Microsoft Dataverse skills for AI coding agents. Wraps the Dataverse MCP server, Dataverse CLI, Python SDK, and PAC CLI behind specialist skills for building, querying, deploying, and administering Dataverse environments.
Emdash is the Open-Source Agentic Development Environment (🧡 YC W26). Run multiple coding agents in parallel. Use any provider.
MCP Aggregator, Orchestrator, Middleware, Gateway in one docker
No-No Debug — Self-evolution system for AI coding assistants. 10 minutes writing code, 2 hours debugging? This skill makes your AI remember all its bugs.
A specialized server implementation for the Model Context Protocol (MCP) designed to integrate with CircleCI's development workflow. This project serves as a bridge between CircleCI's infrastructure and the Model Context Protocol, enabling enhanced AI-powered development experiences.
The Proxmox MCP you can hand the keys. All four products: PVE, PBS, PMG, PDM.
Govern consequential AI agent actions in Docker with deterministic policy, human approval, and signed Decision Dossiers.

Workflow for AI Agents enables automated conversion of CAD files (such as `.rvt`, `.ifc`, `.dwg`) using command-line converters on a local Windows machine
High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all from your IDE. Includes VS Code extension, TypeScript/Python SDKs, and Docker deployment.