Cursor 설치 가이드

개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.

10501개 결과

MCP Servers

5367 개 결과
SM
szeider/mcp-solver
Developer tools

An MCP server for constraint solving (SAT, MaxSAT, SMT, CP, ASP, DP). It turns the connected LLM host into a solver-writing agent: the host gets a Python kernel preloaded with a real solver library,...

177 090
JX
jamesrochabrun/xcodetracemcp
Developer tools

https://github.com/user-attachments/assets/e92cbd43-cd6c-4ec9-9392-d0d2408a648d

44 090
YA
yzfly/arxiv-mcp-server
API development

🔬 ArXiv论文智能解读助手 - Arxiv-MCP-Server, 支持MCP协议的学术论文一键下载、解析、翻译为中文,并生成微信公众号文章格式

45 090
SS
signal-slot/mcp-gdb
Developer tools

A Model Context Protocol (MCP) server that provides GDB debugging functionality for use with Claude or other AI assistants.

157 090
ZF
zhizhuodemao/frida-mcp
Developer tools

A Model Context Protocol (MCP) server that enables AI models to perform Android dynamic analysis using Frida.

109 090
WF
wilson520403/fgui-agent-bridge
Developer tools

通过 MCP、CLI 和本地 JSON 队列安全操作 FairyGUI Editor

47 090
SP
sanshao85/persistent-terminal-mcp
Developer tools

一个功能强大的 Model Context Protocol (MCP) 服务器,基于 TypeScript 和 node-pty 实现持久化终端会话管理。即使客户端断开连接,终端命令也会继续运行,特别适合 Claude、Cursor、Cline 等 AI 助手执行长时间任务。 油管视频地址:https://youtu.be/nfLi1IZxhJs b站视频地址:https://www.

131 090
KC
kapillamba4/code-memory
Developer tools

MCP server with local vector search for your codebase. Smart indexing, semantic search, Git history — all offline.

49 090
OO
oisee/odata_mcp_go
Developer tools

A Go implementation of the OData to Model Context Protocol (MCP) bridge, providing universal access to OData services through MCP tools.

138 090
GH
groundcobra009/hourei-mcp-server
Developer tools

e-Gov法令APIを使用して日本の法令情報を検索・取得するModel Context Protocolサーバー

48 090
AA
arkya-ai/claude-additional-models-mcp
Developer tools

Reduce Claude Desktop consumption by 10x - Integrate Google's Gemini or Z.ai's GLM-5 (744B params) with Claude via MCP for intelligent task delegation

47 090
NM
nellyw8/mcp4eda
Developer tools

Implementation of the paper: MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization

102 090

Agent Skills

5134 개 결과
MT
mqttsnet/thinglinks
Developer tools

ThingLinks is an enterprise-grade built on Spring Cloud microservices architecture. It delivers device connectivity, supporting on a single node with plugin-based extensibility and multi-protocol...

1.1천35
VM
vibe-motion/skills
Developer tools

agent skills for vibe motion

1.2천35
SS
skillsgate/skillsgate
Developer tools

Visual skill manager for AI agents. Desktop app and TUI.

1.1천35
AW
am-will/codex-skills
Developer tools

A collection of Codex/agent skills for planning, documentation access, frontend development, and browser automation.

1천35
FF
frappe/frappe-ui
Developer tools

Frappe UI provides a set of components and utilities for rapid UI development. Components are built using Vue 3 and Tailwind. Along with generic components like Button, Link, Dialog, etc.

1천35
SV
safedep/vet
Developer tools

vet supports special mode for Agent Skills. Run vet scan --agent-skill to scan an Agent Skill hosted in a GitHub repository.

1.1천35
RF
rudrankriyam/foundation-models-framework-lab
Developer tools

Foundation Lab is a native iOS and macOS workbench for learning, testing, and shipping with Apple's Foundation Models framework.

1.2천35
PP
patterai/patter
Developer tools

About • How It Works • Documentation • Quickstart • Skills • Templates

1천35
NE
numerai/example-scripts
Data science & ML

The official place to start playing the Numerai tournaments.

1.2천35
QS
qufei1993/skills-hub
Developer tools

A cross-platform desktop app (Tauri + React) for installing, organizing, updating, and syncing Agent Skills to multiple AI coding tools' global or project-level skills directories.

1.2천35
SA
sentient-agi/evoskill
Developer tools

EvoSkill: Automated Skill Discovery for Coding Agents

1.1천35
DA
datawhalechina/agentic-ai
API development

本项目围绕吴恩达老师在 DeepLearning.AI 推出的 Agentic AI 系列课程,致力于为中文学习者提供高质量的课程内容翻译、系统化的知识梳理、关键概念解析以及配套示例代码的详细解读。项目不仅帮助学习者跨越语言障碍,更通过结构化整理与实践引导,深入理解“智能体”(Agent)在现代 AI 系统中的核心作用,掌握构建自主、协作、推理型 AI 应用的关键方法。

1.1천35