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
Multi-Agent Systems with Google's Agent Development Kit + A2A + MCP
is a semantic testing framework for .NET — write AI tests in , run them with .
guMCP is an open-source collection of Model Context Protocol (MCP) servers that can be run both remotely and locally.
This repository contains implementations of the Model Context Protocol (MCP), an open standard that connects AI systems with external tools and data sources.
A type-safe implementation of the official Model Context Protocol (MCP) schema in Rust.
This repo contains MCP tools and sample agents for fetching public information from Data Commons.
MCPyATS brings together the Model Context Protocol (MCP) and Cisco pyATS to build intelligent, distributed agents capable of automating network tasks via natural language.
The CloudBase integration layer for AI coding tools: Plugin installs the stack, Skills steer how code is written, MCP operates databases, functions, storage, and deploys from chat.
An MCP (Model Context Protocol) server that provides comprehensive RAG (Retrieval-Augmented Generation) capabilities for processing and querying directories of documents using the raganything library...
A flexible gateway server that bridges Model Context Protocol (MCP) STDIO servers to MCP HTTP+SSE and REST API, enabling multi-instance MCP servers to be exposed over HTTP.
is a modular library for building Model Context Protocol (MCP) servers using NestJS. It provides decorators, modules, and integration patterns to expose MCP resources, tools, and prompts in a...
is a powerful Terminal User Interface (TUI) for debugging, testing, and interacting with Model Context Protocol (MCP) servers.
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)