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

Model Context Protocol server for Task Management. This allows Claude Desktop (or any MCP client) to manage and execute tasks in a queue-based system.

Agent-MCP is a framework for creating multi-agent systems that enables coordinated, efficient AI collaboration through the Model Context Protocol (MCP).

A Model Context Protocol (MCP) server that provides web search capabilities through DuckDuckGo, with additional features for content fetching and parsing.

Turn your thinking into queryable context

Draw.io Model Context Protocol (MCP) Server

A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and amnesia.

A Model Context Protocol (MCP) server that enables secure interaction with MySQL databases

Telegram MCP server powered by Telethon to let MCP clients read chats, manage groups, and send/modify messages, media, contacts, and settings.

FreeCAD MCP(Model Context Protocol) server

Lighweight CLI to interact with MCP servers

One home for every agent. A free, open-source app to manage all your AI coding agents — desktop, CLI, or web.

Volcengine MCP Servers
Agent Skills

Agent skills extracted from real work. Each one shipped something first.

Personal Codex skills (drop-in folders under ~/.agents/skills/). Catalog: https://jmerta.github.io/codex-skills/

Open the interactive guide to learn more about the Skill

The open agent skills tool - npx skills

A curated list of essential skills, tools, and resources for building and enhancing advanced AI agents.

Keep your skills sharp. Intelligence for agent context.

Chainstack is the leading suite of services connecting developers with Web3 infrastructure

A structured Agent workflow for CUMCM, MCM/ICM, and Diangong Cup — designed to keep a 72–96 hour modeling project coherent from the first decision to the final submission.

会话 · 聊天记录 · 搜索 · 联系人 · 群成员 · 群昵称 · 收藏 · 统计 · 导出

🧠 plan · 🔨 implement · 🔍 review · ✅ QA gate · 🚢 merge Thirty-five agent skills that run a full PR pipeline. Install them into any repo, with any coding agent.

for creating, directing, validating, and delivering image, video, audio, voice, music, 3D, avatar, and interactive media.

Running 5 AI agents in parallel is easy. Making them not break each other's code is the hard part.