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
The Trend Vision One Model Context Protocol (MCP) Server enables natural language interaction between your favourite AI tooling and the Trend Vision One web APIs.
In the rapidly evolving world of web development, the integration of AI assistants with UI component libraries has become increasingly important.
Open Source Observability Platform for MCP Servers & Apps
This plugin integrates the Model Context Protocol (MCP) with ElizaOS, allowing agents to connect to multiple MCP servers and use their resources, prompts, and tools.
飞书MCP服务器是一个基于Model Context Protocol的服务，提供飞书API集成，使AI模型能够轻松与飞书服务交互。
MCP server for LibreNMS management
For new installs, use tellm instead. It is a small Rust Telegram assistant for Claude, GPT/Grok, Gemini, compatible endpoints, and local Ollama, with per-room model selection and keychain-backed...
A TypeScript library providing OAuth2 authentication utilities for Model Context Protocol (MCP) clients.
MCP Manager is an Electron-based desktop application for managing Model Context Protocol (MCP) servers.
This project contains a .NET web app implementation of a Model Context Protocol (MCP) server. The application is designed to be deployed to Azure App Service.
A flight search service built with Model Context Protocol (MCP). This service demonstrates how to implement MCP tools for flight search capabilities.
This repository demonstrates building an MCP (Model Context Protocol) server with HTTP transport and JWT authentication, progressing through iterative steps.
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)