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開発者向け MCP サーバーとよく使われる AI コードエディタ。
MCP Servers

A systematic, AI-powered penetration testing reasoning engine (MCP server) for attack path planning, CTF/HTB solving, and automated pentest workflows.

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.

MCP Think Tool Claude Desktop

MCP server for Fluent (ServiceNow SDK)

Universal MCP server enabling any LLM or AI agent to utilize expert skills from your local filesystem. Reduces context consumption through lazy loading.

Control Lovense toys through Claude Desktop

MCP Server for Flipper Zero (unofficial)

An MCP server that gives AI assistants full control over native Windows applications — launch, inspect, click, type, screenshot, and test any WinUI3, WPF, WinForms, or Win32 app.

This repository contains a Model Context Protocol (MCP) server implementation for Stitch AI's memory management system.

⚡ An intelligent Model Context Protocol (MCP) server that supercharges code analysis with advanced search capabilities and dependency mapping

TVControl by Ferrox Labs — TradingView MCP System. AI remote control for TradingView Desktop. 88 MCP tools driving symbols, indicators, Pine, snapshots, sweeps, replay, and live chart vision.

MCP Server and Tool code for Nuke
Agent Skills

This repository provides technical guidance for users and developers using Amazon EC2 instances powered by AWS Graviton processors (including the latest generation Graviton5 processors).

A curated list of delightful NoCode / LowCode applications and resources. For more awesomeness, check out awesome.

ThingLinks is an enterprise-grade built on Spring Cloud microservices architecture. It delivers device connectivity, supporting on a single node with plugin-based extensibility and multi-protocol...

本项目围绕吴恩达老师在 DeepLearning.AI 推出的 Agentic AI 系列课程,致力于为中文学习者提供高质量的课程内容翻译、系统化的知识梳理、关键概念解析以及配套示例代码的详细解读。项目不仅帮助学习者跨越语言障碍,更通过结构化整理与实践引导,深入理解“智能体”(Agent)在现代 AI 系统中的核心作用,掌握构建自主、协作、推理型 AI 应用的关键方法。

橙皮书 (Orange Book) Series · by HuaShu (花叔)