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

Open-source, local-first memory and context for AI agents. One memory store, every agent.

built by an autonomous agent · sibyl labs llc

Google Ads Agent Skills for Claude — campaign analysis, account auditing, safe write ops, PPC math, and MCP server integration

An MCP Server implementation that integrates the Brave Search API, providing, Web Search, Local Points of Interest Search, Video Search, Image Search, News Search and LLM Context Search capabilities

开源 AI 低代码平台:.NET 10 + Vue 3 + Redis,以 V8 引擎连接 AI 编程、可视化建模与企业级交付。 支持 VS Code / Codex / Copilot / Cursor / Claude + MCP + Skills,本地或在线开发,保存即生效。

Persistent, local, cross-IDE memory for AI agents — markdown source of truth, LanceDB-powered semantic search, zero cloud dependency

开源金融数据 MCP / HTTP 服务,面向 AI Agent、量化脚本和普通后端集成。

An MCP server for exploring Israeli government open data (data.gov.il) — with built-in interactive visualizations powered by MCP Apps.

Search a codebase by meaning, then follow the result into definitions, callers, and dependency paths.
Agent Skills

Stop That Shit(别再造史了)|面向 Codex/GPT 场景的多平台 Hook + Skill Guard:拦截 AI coding agent 无需求的哈希、校验和与任务范围膨胀。 A multi-platform Hook + Skill Guard for AI coding agents in Codex/GPT workflows: stop unrequested...

LLM-compiled knowledge bases for any AI agent. Parallel multi-agent research, collector catalogs, automated session capture, feedback curation, thesis-driven investigation, source ingestion, wiki...

受李宏毅教學風格啟發(本人授權的描述方式)。這個 skill 模仿教學方法,不冒充本人。

Spec-Driven Develop is an open-source, platform-agnostic workflow for AI coding agents. It turns large software changes into a spec-driven loop: project analysis, task decomposition, GitHub Issue/PR...

In the AI era, why can't everyone be a Principal Investigator?

A comprehensive toolkit for generating production-ready Claude Skills and Claude Code Agents at scale.

chDB is an in-process OLAP SQL Engine 🚀 powered by ClickHouse

— A self-evolving second brain powered by AI agents, markdown files, and version control. No database, no vendor lock-in — just .md files that think.

You don't write AGENTS.md. You train it with gradient descent.

Seu mentor de Inteligência Artificial para aprender mais e melhor na DIO.

A practical tutorial for using SKILL.md, auditing reusable skills, drafting skills with AI, extracting real workflows, and building a local Skill ecosystem.

A Markdown superset for agent-facing documents. — compile into the .md files every major agent runtime already loads.