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
iOS app can be downloaded here https://apps.apple.com/app/apple-store/id6746345658
A quick MCP demo for Mythic, allowing LLMs to pentest on our behalf!
一个让AI根据机的品位给你点歌的项目。趁机戳戳机的小情绪，还能创建（做爱）歌单🤓。
MCP server for Naver Search API and DataLab API integration, enabling comprehensive search across various Naver services and data trend analysis.
Vault is a production prompt-injection firewall for MCP. It intercepts every tool response before your agent reads it and scans through four layers of detection (L0 deterministic decoder, L1...
We recommand you to use this template project to manage your Elementor project.
Allow your AI coding agents to access Figma files & prototypes directly. You can DM me for any issues / improvements: https://x.com/jasonzhou1993
give your AI agent a spreadsheet it can actually think in: deterministic Excel-compatible math + structured memory (blocks), real .xlsx out. Open source, self-hostable.
![ci][ci-url] ![npm version][npm-url] ![License: Apache 2.0][license-url] ![Install MCP Server][cursor-url]
A TypeScript-based MCP server that provides web search and webpage scraping capabilities using the Serper API.
Helps AI assistants fetch content from bot-protected websites. Uses Scrapling (patchright + curl-cffi) to bypass anti-automation measures, returning clean HTML or Markdown.
If you want to support noapi-google-mcp or gpt-oss-20B/120B-Vision and other open source models in the pipeline please add to my GPU compute fund: around $3000 are needed.
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)