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
这是一个基于 MCP (Model Context Protocol) 的邮件工具，它能让 AI 模型通过标准化接口访问电子邮件服务。
xhs-mcp 提供统一的命令行入口 xhs-mcp，并内置 MCP 服务器子命令。用于小红书（xiaohongshu.com）的 Model Context Protocol（MCP）服务器与 CLI 工具，支持登录、发布、搜索、推荐等自动化能力（基于 Puppeteer）。
The MCP server for Azure DevOps, bringing the power of Azure DevOps directly to your agents.
News Aggregation · AI Ratings · Trading Signals · Real-time Updates
A minimalistic MCP client with a good feature set.
- 支持将OpenAPI信息以人机协同方式进行对话式MCP Server生成。 - 在生成MCP Server的过程中，关键决策节点支持人工介入与确认，实现动态配置与实时交互。 - 提升了服务器的生成灵活性与系统可控性，让用户在自动化流程中保留充分的主动权。
ChatGPT CLI is a powerful, multi-provider command-line interface for working with modern LLMs. It supports OpenAI, Azure, Perplexity, LLaMA, and more, and includes streaming, interactive chat, prompt...
Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.
Labs to explore AI Models, MCP servers, and Agents with the AI Gateway powered by Azure API Management and Microsoft Foundry 🚀
a magical desktop app that lets you chat with local or remote LLMs, schedule hourly or daily tasks, all superpowered by MCP
MCP Server para 70 APIs públicas brasileiras
EnrichMCP is a Python framework that helps AI agents understand and navigate your data. Built on MCP (Model Context Protocol), it adds a semantic layer that turns your data model into typed,...
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)