MCP server for controlling a real iPhone via macOS iPhone Mirroring...and any MacOs app. Screenshot, tap, swipe, type — from any MCP client.
Remote MCP Server that securely connects Enterprise context with your LLM, IDE, or agent platform of choice.
Desktop app that automatically scans and blocks malicious MCP traffic in AI apps like Cursor, Claude, VS Code and Windsurf.
Adobe Premiere Pro MCP. Tools for AI-driven video editing via MCP, for Codex, Claude, and other MCP clients.
🎨 Open-source design MCP server + shadcn/ui registry — AI design systems for Claude Code, Cursor, Codex, GitHub Copilot & any MCP client. 31 brand-grade themes (Linear, Stripe, Vercel, Notion, Apple, Supabase, Figma…) + design tokens, UI principles & WCAG rules. Install any component with one command.
pentestMCP: AI-Powered Penetration Testing via MCP, an MCP designed for penetration testers.
Algorand Local Model Context Protocol (Server & Client)
MCP Server with ArcGIS Pro Add-In
🐬DeepChat - A smart assistant that connects powerful AI to your personal world
Sage Mode for F# development — REPL with solution or project loading, Live Testing for FREE, Hot Reload, and session management.
A plugin-based gateway that orchestrates other MCPs and allows developers to build upon it enterprise-grade agents.
This guide will help you set up a basic MCP (Model Context Protocol) server in .NET, configure it in VS Code, and interact with it using Copilot Chat.
ToolHive is an application that allows you to install, manage and run MCP servers and connect them to AI agents
Give your AI assistant superpowers for Zotero plugin development. 28 tools for screenshots, DOM inspection, JavaScript execution, build integration, and debugging via Model Context Protocol.
Connect Cursor, Copilot & Claude AI directly to Cheat Engine via MCP. Automate reverse engineering, pointer scanning, and memory analysis using natural language.
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.