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
Turn any documentation into an AI-searchable knowledge base. Feed it markdown, HTML, PDFs, web pages, or plain text — publish to a database and let anyone on your team query it through AI tools like...
MCP Server for Hex Package Versions
Get current odds and prices from Polymarket, PredictIt, and Kalshi. No API keys required.
The most comprehensive Claude Code guide: agentic workflows, hooks, skills, MCP servers, quizzes, and production-ready templates. 430K+ lines.
http4k MCP Desktop Client
Codebase intelligence for AI and humans: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.
![Release][release] ![Build status][ci] ![Coverage Status][coverage] ![License: Apache 2.0][license] ![Discord][discord]
An MCP (Model Context Protocol) server that enables comprehensive research capabilities for Claude
A native Application , With Agentic Support (MCP) for ultra fast AI image generation using a highly optimized Z-Image-Turbo model with SDNQ quantization.
LYRAI is a Model Context Protocol (MCP) operating system for multi-AI AGENTs designed to extend the functionality of AI applications (such as Claude Desktop and Cursor) by enabling them to interact...
This project is currently under active development and is not yet in working order. The Rhino plugin is experiencing issues with creating objects.
https://github.com/user-attachments/assets/760e1a16-add6-49a1-bf71-dfbb335e893e
Agent Skills
https://github.com/user-attachments/assets/023c0a9c-194a-45a9-bb88-ac8f16f5ffd5
Screenshot testing is key to validate your app's appearance and functionality. It efficiently detects visual issues and tests the app as users would use it, making it easier to spot problems.
Built by DeepSeek, for DeepSeek. An AI coding agent that flows through your codebase like a tide. The name: DeepSeek + tide (terminal IDE).
山音超级编剧大师 - 全格式影视编剧 Skill 由 @山音 设计的自然语言驱动编剧 Agent Skill 覆盖 1-3 分钟概念超短片→90 分钟电影长片→多集剧集的全流程剧本创作，一站式搞定人物、大纲、场景、剧本全链路
for quasi-experimental designs in Python.