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
MCP (Model Context Protocol) is an open protocol introduced by Anthropic that standardizes how large language models communicate with external tools, resources or remote services.
This is MCP server for Claude that gives it terminal control, file system search and diff file editing capabilities
A Model Context Protocol server for Scrapezy that enables AI models to extract structured data from websites.
Programmatic access to Gemini Notebook - via command-line interface (CLI), Model Context Protocol (MCP) server, and AI agent skills.
Call MCPs via TypeScript, masquerading as simple TypeScript API. Or package them as cli.
Plugin for JADX to integrate MCP server
A Model Context Protocol (MCP) server for converting Markdown content to interactive mindmaps.
A local Model Context Protocol (MCP) server for TikTok Ads API integration. It lets MCP clients such as Claude Desktop connect to TikTok Ads, authenticate with a TikTok Business app, and use...
A molecular machine learning MCP server that enables LLMs to handle molecular data
MCP Server for Cutter
Let AI assistants read and write your Yuque (语雀) knowledge base through the Model Context Protocol.
A comprehensive Python library and CLI tool for accessing and analyzing Granola.ai meeting data, featuring a complete MCP (Model Context Protocol) server for AI integration.
Agent Skills
xiaohongshu-skills
One-command tmux setup with terminal automation for AI agents.
把书、长视频、播客等高价值内容蒸馏成可执行的 Agent Skills（Distill high-value content from books, long-form videos, podcasts, and more into executable Agent Skills）
A curated collection of open-source macOS applications built with Swift
Agent Skills-compatible LLM wiki for Claude Code, Cursor, and Codex. Build a Karpathy-style knowledge base from raw sources, citations, and linting.
Prismer Cloud
Agent skills for useful HTML artifacts, wireframes, interactive prototypes, plans, and diagrams.
extract all your personal data history from cursor, codex, claude-code, windsurf, and trae
A self-organizing multi-agent collaboration platform for OpenClaw. Multiple AI agents work as an autonomous team — planning, executing, reviewing, and patrolling tasks with zero human intervention.
My profile & the agent skills I created
ShinkaEvolve : Towards Open-Ended and Sample-Efficient Program Evolution 🧬
A passive recording project allows you to have complete control over your data. Automatically take screenshots of all your screens, index them, and save them locally.