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
Agent-first CLI for audio/video transcription via Whisper.
一句 prompt，讓支援 skills 的 coding agent 依照指定美學產出可交付的高質感 PPT。
Agent skills that help you publish in the AER faster — identification-first empirics, AEA-compliant replication, Keith-Head intros, R&R rebuttals for AER / AER:Insights / AEJ.
从参考图提取视觉风格 DNA，强制生成标注与纯色双版色卡的 AI Agent Skill
全栈开发 AI Agent Skills，包含 Vue3 管理后台、UniApp 移动端、6 大后端框架（Spring Boot、NestJS、Gin、Django、ThinkPHP、ASP.NET Core）及 MySQL 数据库设计规范。
1C Codex skills
AI agent skills for building, operating and troubleshooting Apache Kafka applications. Topic audit, consumer lag, schema review, security, connectors and DLQ
Agent skills for Arize — datasets, experiments, and traces via the ax CLI
Vibe Coding Framework - Full SaaS Development Team from A-Z with Brain, Self Improvement, Auto Development
Public Agent Skills for Terminal and Kubernetes
AI Agent skill for narrator-ai-cli — CLI client for Narrator AI video narration API.
Agent skills for working with DataHub — plan and review connectors, search the catalog, enrich metadata, trace lineage, manage data quality, and set up connections.