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MCP Servers

is a powerful tool that automatically detects APIs in existing projects and transforms them into Model Context Protocol (MCP) servers.

This repository provides example implementations of MCP (Model Context Protocol) in Python and Typescript, based on the specification: 📄 MCP Streamable HTTP Spec.

A Model Context Protocol (MCP) server for interacting with the Hetzner Cloud API. This server allows language models to manage Hetzner Cloud resources through structured functions.

tRPC to MCP package

Aseprite MCP Pro — AI-powered pixel art creation for Aseprite via Model Context Protocol. 121 tools for sprites, drawing, animation, palettes, export, and Godot integration.

An MCP (Model Context Protocol) server that connects AI coding assistants to -- the industry-standard MBSE tool for SysML and UML modeling.

The OP.GG MCP Server is a Model Context Protocol implementation that provides AI agents with access to OP.GG game data for League of Legends, Teamfight Tactics, and Valorant.

A Model Context Protocol (MCP) server for Windows desktop automation using AutoIt.

This project demonstrates how to build a multi-agent system using Agent-to-Agent (A2A) communication with the Model Context Protocol (MCP).

A free 3D Printing MCP server that allows for getting live printer state, webcam snapshots, and printer control.

The Trend Vision One Model Context Protocol (MCP) Server enables natural language interaction between your favourite AI tooling and the Trend Vision One web APIs.

Clojure/ClojureScript library for making MCP server and client
Agent Skills

One command. 25 agent skills. Zero to profitable business.

Codex skills for translating market information into testable investment research frameworks.

An Agent Skill that reviews scientific and engineering manuscripts for writing quality, applying the methodology from Dr. Kristin Sainani's Writing in the Sciences course at Stanford (2012).

The central challenge in AI development isn't a lack of ideas, but the inconsistent process of turning them into robust, reliable skills.

Reusable Agent Skills for single-page SEO auditing. Give it a URL — get a structured HTML report with actionable findings.

Salesforce's curated collection of agent skills for building applications. Optimized for Agentforce Vibes, compatible with all AI tools.

Vibe-coded products are ugly in the same specific way: indigo gradients, glowing cards, emoji everywhere, a mascot in every corner, ALL-CAPS stat-cards.

Thirteen curated Agent Skills package the steps, templates, scripts, examples, and quality gates behind repeatable work. They follow the open SKILL.

AI got superpowers through Skills and MCPs. What about humans?

A Codex skill for turning a theme, sentence, object, mood, article idea, photo, or content brief into a quiet minimal zine-style editorial poster prompt and a generated raster image.

Agent Plugins is an open, vendor-neutral standard for packaging reusable components that extend AI agents into distributable plugins.

— Open Source Agentic AI Sandbox Matrix. A CNCF-conformant Kubernetes distribution in a , purpose-built for secure, isolated AI agent execution at scale. Up and running in . Inspired by K3s.