Cursor 설치 가이드
개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers
本期系列相关视频如下，按照发布的先后顺序: 主要内容:MCP介绍、MCP功能测试,LLM(支持OpenAI接口风格的大模型)应用程序调用MCP https://www.bilibili.com/video/BV1HBquYbE7t/ https://youtu.be/Jmo7rgb_OXQ 主要内容:使用MCP实现LLM应用程序Text2SQL功能操纵MySQL数据库 https://www.
A mcp server that bridges Dune Analytics data to AI agents.
The AI agentic designer — open-source React design system + MCP that lets Claude, Codex, Cursor & Gemini build production UI in minutes. No AI slop.
Google Ads Agent Skills for Claude — campaign analysis, account auditing, safe write ops, PPC math, and MCP server integration
Agent Skills
A Claude Code skill that transforms codebases into literate programs. These are documents written for human comprehension that also generate the original source code.
A Claude skill that designs any process, idea, or problem into an — folder structure as agent architecture — or restructures an existing folder, repo, or vault into one.
* * * — plus key rotation, cross-platform biometrics, and an encryption preflight
Preview status Zleap-Agent is an early preview. The public repository is intended for source review, local development, and feedback.
Ring is a comprehensive skills library and workflow system for AI agents that transforms how AI assistants approach software development. Currently implemented as a with , , and (see .
本仓库是 Agnes AI API 的**，包含完整 API 文档与通用支持 Skill，帮助开发者快速接入 Agnes AI 全模态 API（文本、图像、视频）。
A library of healthcare and life sciences domain capabilities — reference agents with best practices, reusable skills, and MCP-based tools — serving builders in their IDEs, researchers in Amazon...
MineEcho is a source-available, local-first AI assistant framework for building private, extensible assistant workflows on top of local services and user-owned knowledge.
— full Tor / dark web access for AI agents
An iterative deep-logic security audit agent for Claude Code. Nemesis combines two complementary audit methodologies in an alternating feedback loop to find bugs that neither can catch alone.
A 27-chapter, code-first tutorial covering the agent loop, tool system, session persistence, memory, skills, context compression, MCP, multi-platform gateway (Telegram / Discord / Slack / WeChat),...
I built an OpenClaw agent that manages Google Ads accounts through intent analysis instead of bid automation. All three layers — Read → Draft → Apply — are live and tested on real accounts.