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

Stop rewriting your tools. Just adapt them.

Generic markdown vault MCP with hybrid search

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

Hosted uptime monitoring and public status pages for teams. Multi-region checks, automatic incidents, on-call alerts (Slack/Telegram/webhook/+), subscribers, REST API, Terraform provider, MCP server.

本期系列相关视频如下,按照发布的先后顺序: 主要内容:MCP介绍、MCP功能测试,LLM(支持OpenAI接口风格的大模型)应用程序调用MCP https://www.bilibili.com/video/BV1HBquYbE7t/ https://youtu.be/Jmo7rgb_OXQ 主要内容:使用MCP实现LLM应用程序Text2SQL功能操纵MySQL数据库 https://www.

MCP server for FreeCAD — 32 tools for AI-assisted 3D CAD modeling

Open-source SAST engine that traces vulnerabilities across files and functions

This project is a for automating and managing interactions on a Facebook Page using the Facebook Graph API.
The AI Config Plaza. Stop configuring AI tools from scratch. Discover, share, and one-click install verified configurations for MCP servers, Agents, and Prompts.

Typed async Python clients + MCP server for Romania's ANAF web services: e-Factura, e-Transport, and public taxpayer lookups.

An MCP server that queries public SearXNG instances, parsing HTML contents into a JSON result

furi is an easy to use, CLI & API for MCP management.
Agent Skills

是一个 AI Agent 技能库,收录了一系列可被 Agent 直接调用的结构化技能。每个技能都是独立的、可组合的工作流单元,覆盖信息获取、内容处理、图像工具等场景。

面向 Web 逆向分析与接口签名还原场景的 Skill,围绕 camoufox-reverse MCP 构建单一工作流:先用 Camoufox 反检测浏览器完成网络捕获、源码定位、Hook 调试与反检测验证,再按需落地到 Node.js 或 Python 算法还原与自动化调用。

Claude Code를 위한 커스텀 스킬 모음입니다. 개발 생산성을 높이기 위한 다양한 자동화 스킬들을 제공합니다.

A personal AI assistant that evolves with you. 8 different types of memory (episodic, semantic, procedural, emotional, prospective, behavioral, narrative, shared) make it truly yours.

A lean .claude/ setup for daily development. Seven specialist agents, twelve workflow skills, six modular rules, and eight safety/productivity hooks.

Ported from the TypeScript reference implementation and extended with a Python-native runtime

A self-evolving AI research colleague for scientists.

CAR is a meta-harness for coding agents (Codex, Hermes, OpenCode, OMP, anything ACP). It is not a coding agent itself. You bring the plan and the agents; CAR coordinates the long-running execution.

本项目把传统术数相关的 AI skill 拆成可审计、可复用、可逐步扩展的工程模块。目标不是把模型包装成“更会玄学”,而是尽量减少它在排盘、流派口径、步骤顺序和解释链路上的幻觉。

the interactive repo-local install paths (./install.sh and clawhip install from a clone) can offer to star this repo after a successful install when gh is installed and authenticated.

1. 对话 skill 模式:在聊天中按 SKILL.md 约束执行单轮改写;安装本仓库作为 skill 后即可直接使用。 2. 脚本 API 模式:通过 scripts/run_aigc_round.py 执行单轮分段处理,并按需调用外部 OpenAI 兼容接口。 3. Web 模式:启动本地后端和前端页面,在浏览器中完成上传、配置、执行和导出。 4. app:安装app可直接使用

Wakaru unpacks webpack, esbuild, and other production bundles, then reverses minifier and transpiler output into readable modern JavaScript.