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
- Install, manage, and supercharge your AI assistants with the power of Model Context Protocol (MCP)
cloudflare workers MCP server
A Model Context Protocol (MCP) server that converts various file formats to Markdown using the MarkItDown utility.
Connect any tool that has a REST API, CLI or SDK to your Claude, Cursor, VS Code, or any other AI Client that supports MCP (Model Context Protocol)
Plug Claude, ChatGPT, Cursor, or any MCP-compatible client into live TipRanks data: analyst ratings, Smart Score, price targets, technicals, options, insider and hedge-fund activity, congressional...
MCP server implemented in Elixir
A Model Context Protocol (MCP) server that provides tools, resources, and prompts for financial analysis using the Financial Modeling Prep API.
Microsoft SemanticKernel integration for the Model Context Protocol using the csharp-sdk. Enables seamless use of MCP tools as AI functions.
Vue MCP Next relies on Vue DevTools to access and manipulate the runtime state of Vue applications. Please ensure:
A Model Context Protocol (MCP) server that provides full email management for Yahoo Mail via IMAP. This server supports both local stdio transport (for Claude Desktop) and HTTP/SSE transport (for...
A Model Context Protocol (MCP) server that enables AI assistants to securely search, analyze, and validate Splunk queries with built-in safety guardrails.
A Model Context Protocol (MCP) server for automating Ludus cyber range environments through AI assistants written in Python.
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：