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
Genealogy research with AI assistants is limited and frustrating:
A Model Context Protocol (MCP) server that provides a standardized interface for AI assistants to interact with the ClickUp API.
A fully-featured Haskell library for building Model Context Protocol (MCP) servers.
A Model Context Protocol (MCP) server that creates a bridge between AI language models and the Trakt.tv API, allowing LLMs to access real-time entertainment data and personal Trakt viewing history.
基于 MCP (Model Context Protocol) 的 Tushare 金融数据服务器，提供 52 个专业金融数据分析工具。
A Model Context Protocol (MCP) server for LeetCode that enables AI assistants to access LeetCode problems, user information, and contest data.
An MCP (Model Context Protocol) server that provides browser automation capabilities using Camoufox, a privacy-focused Firefox fork with advanced anti-detection features.
MCP server for the Paperclip AI agent orchestration platform.
Model Context Protocol to bridge in Substack writings to Claude.
Connect LLMs and AI agents to live web data using MCP (Model Context Protocol). The Decodo MCP Server lets you scrape websites, search engines, eCommerce platforms, and social media directly from AI...
MCP server for OpenSpec - spec-driven development with dashboard and approval workflow
A beginner-friendly MCP server template featuring a PostgreSQL connector with clean, easy-to-understand code.
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)