Cursor 安装指南
常与开发类 MCP Server 搭配使用的 AI 代码编辑器。
MCP Servers
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...
Buy me a coffee on Patreon if this project helps you. I am not very familiar with editing Patreon pages yet; thanks for your understanding.
An opinionated Jira MCP server built from years of real-world software development experience.
Local MCP server that gives AI coding agents persistent, searchable memory of your codebase
An MCP server that enables LLMs interacting with your network devices
A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats and learn from past errors through a lesson system.
This project sets up a powered by the API and built for seamless integration with .
Professional trading assistant supporting with , , and .
Execute IDAPython scripts in IDA Pro through any MCP-compatible AI assistant.
A Model-Context-Protocol (MCP) server that lets Claude (or any MCP-compatible LLM) interact with your Obsidian vault through the community plugin – written in and runnable with .
A Visual Studio Code extension to connect to Siemens TIA Portal and interact with TIA Portal projects directly from VS Code with GitHub Copilot.
Payments MCP is an MCP server & companion wallet app that combines wallets, onramps, and payments via x402 into a single solution for agentic commerce.
Agent Skills
This project is under active development and evolving rapidly. Contributions, feedback, and discussions are warmly welcome.
Agent skill that audits vibe-coded apps for common security vulnerabilities introduced by AI coding assistants
A high-performance Markdown parser and renderer for Angular, React, Svelte, Vue, HTML and ANSI.
A collection of Codex/agent skills for planning, documentation access, frontend development, and browser automation.
简单说，就是跟 Claude 说一句话，它会帮我从每天的新论文里筛一轮，挑出值得看的，再把重点论文读完、写成 Obsidian 笔记。日常不用记一堆命令，基本就是：