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

一个支持人工智能辅助调试的 GDB MCP (Model Context Protocol) 服务器。该服务器允许 AI 代理和其他工具通过 MCP 协议与 GDB 进行交互。

MCP Server for Computer Use in Windows

RagCode is a that instantly makes your project . It enables AI assistants like , , , and to understand your entire codebase through , bridging the gap between your code and Large Language Models...

MCP server implemented in Elixir

Git-backed knowledge base served over the — agents read and write directly with hybrid semantic + keyword search, structured tables, files, and a URI graph.

This is a WIP library implementing the Model Context Protocol.

A Model Context Protocol (MCP) server for Bitwig Studio that allows Claude to control your DAW.

\ Brandon Radosevich*, John Halloran*\ Paper: https://www.arxiv.org/abs/2504.03767

A Model Context Protocol (MCP) server that enables AI assistants to securely search, analyze, and validate Splunk queries with built-in safety guardrails.

A Model Context Protocol (MCP) server implementation for Notion integration, providing a standardized interface for interacting with Notion's API. Compatible with Claude Desktop and other MCP clients.

Talk to your Brightspace courses with AI. Ask about grades, due dates, announcements, and more. Works with Claude, ChatGPT, Cursor, and Windsurf.

A minimal MCP (Model Context Protocol) server that provides AI assistants with access to bpftrace kernel tracing capabilities.
Agent Skills

This repository provides technical guidance for users and developers using Amazon EC2 instances powered by AWS Graviton processors (including the latest generation Graviton5 processors).

A curated list of delightful NoCode / LowCode applications and resources. For more awesomeness, check out awesome.

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...

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。

橙皮书 (Orange Book) Series · by HuaShu (花叔)