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
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Scan your dev machine for AI agents, MCP servers, IDE extensions, suspicious files, and risky package-manager configs — in seconds.
A starting point for Claude Code to Codex collaboration
furi is an easy to use, CLI & API for MCP management.
combining Claude Code monitoring, Claude Code config management, hooks, agents, and MCP servers in a single 5.8MB binary. 89x faster startup with SQLite cache, 492 tests, 0 clippy warnings.
No Microsoft Graph API, no Entra app registration, no OAuth tokens — just your local Outlook and the authentication you already have.
MCP server for FreeCAD — 32 tools for AI-assisted 3D CAD modeling
Use Devnors Data from Python with one API Key.
An MCP server that connects to a Swagger specification and helps an AI to build all the required models to generate a MCP server for that service.
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Index a dataset once, then retrieve column profiles, filtered rows, server-side aggregations, and cross-dataset joins — so a million-row file costs thousands of tokens instead of millions.
基于 AI Agent + MCP 工具链 + 渗透 Skill 编排， 配合大语言模型， 自然语言输入 → 自动完成「信息收集 → 漏洞发现 → 漏洞利用 → 报告生成」全流程。
Agent Skills
AetherViz Master - 互动教育可视化建筑师，将任意教学主题转化为沉浸式3D交互网页
HEY CLI and Agent Skills
High-performance AI coding agent CLI written in Rust with zero unsafe code
A visual tool to edit HTML and Markdown files, leave comments like a Google Doc, and send feedback to your AI agent. Works inside your favorite AI harness.
A multi-agent workflow system for GitHub Copilot in VS Code that brings structure, quality gates, and long-term memory to AI-assisted development.
Generate realistic synthetic security logs for cybersecurity threat hunting training and research.
A comprehensive development toolkit designed following Anthropic's Claude Code Best Practices for AI-assisted software development.
Powered by , this project orchestrates 14 , each modeled after world-class experts in their domain. They ideate products, make decisions, write code, deploy, and market - without human intervention.
The Pi extensions and skills I use to keep long agent sessions useful without building a fake operating system around them.
Tell your coding agent to do real, multi-step work, then Smithers runs it for minutes or days: watch every step live, gate the risky ones behind human approvals, and rewind, fork, or replay any run.
[Documentation] [Quick Start] [简体中文] [Tiếng Việt]
An open standard for shared agent learning. Agents persist, share, and query collective knowledge so they stop rediscovering the same failures independently.