Cursor 설치 가이드
개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers

Add vision to text-only models in Opencode (, ) — , no manual file saving.

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

Agent Browser eliminates the need to configure each MCP server in every client. Connect your clients once to Agent Browser, and it will manage all your Server-Sent Events (SSE) MCP servers for you.

Self-hosted, agent-native web app and MCP server for your Obsidian-style Markdown vault. Browse, search, and edit notes from a fast UI or from AI agents.

个人知识库 MCP 服务器 — 对本地文档建立索引,并提供一组飞书 API 工具,通过 MCP 协议供 AI 客户端访问。

LogLead performs log loading, log enhancement, log feature engineering, log analysis, log anomaly detection also via MCP-server.
Agent Skills

1688 AI版 开店Claw 官方Skill

Your personal agent, coding environment, and communication platform — all in one app. Works with any LLM or coding agent. Designed to be simple, unified, secure, and easy.

The strictest and most opinionated python linter ever!

Open-source AI agent for B2B lead generation — describe your product, it finds the people who fit, explains why each one does, and emails them from your mailbox. Self-hosted CLI, one install.

将 SRT 字幕做成暖米黄纸张底的流式笔迹白板手绘动画 skill:mask 分区遮罩编排 + stream 连续笔迹(ink→color)。

⚠️ acpx is in alpha and the CLI/runtime interfaces are likely to change. Anything you build downstream of this might break until it stabilizes.

Production-ready FastAPI + Next.js project generator with AI agents, RAG, and 20+ enterprise integrations.

基于 Spring Boot 4.1、Java 25、Spring AI 2.0、React、PostgreSQL/pgvector、Redis 和 RustFS 构建的开源 AI 面试平台,支持简历智能分析、模拟面试、语音面试和知识库 RAG。

Open-source AI marketing skills — growth experiments, sales pipeline, content ops, outbound, SEO, and finance automation

公众号内容全流程 Skill,从热点抓取到微信草稿箱,一句话跑完整条内容管道

AI-friendly PPT builder skill: 17 hand-polished Chinese PPTX templates + non-destructive text-only editing tools (python-pptx based). Pick a template, write edits.json, build a real .

AutoSci evolved from our earlier OmegaWiki prototype into what we're building toward: a next-generation research agent that can handle the full scientific lifecycle.