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
of talhaorak/pytaiga-mcp with additional features, CI/CD, and ongoing maintenance.
Panther's Model Context Protocol (MCP) server provides functionality to:
The KubeSphere MCP Server is a Model Context Protocol(MCP) server that provides integration with KubeSphere APIs, enabling to get resources from KubeSphere.
is a framework that allows you to integrate custom tools into AI-assisted development environments—such as Cursor AI.
A Model Context Protocol (MCP) server that provides real-time and historical cryptocurrency market data through integration with major exchanges.
Model Context Protocol (MCP) server for Atlassian products (Confluence, Jira, Bitbucket, and Xray for Jira).
A Model Context Protocol (MCP) server that interfaces with the AniList API, allowing LLM clients to access and interact with anime, manga, character, staff, and user data from AniList.
Specialized MiniMax Model Context Protocol (MCP) server designed for coding-plan users, featuring AI-powered search and vision analysis APIs optimized for code development workflows.
Model Context Protocol server for whois lookups.
This MCP (Model Context Protocol) server provides integration with the Harvest time tracking and project management API.
Most music platforms offer recommendations — Daily Discovery, Top Artists, New Arrivals, etc. — but even with the state-of-the-art system, they often feel too "aggregated".
デジタル庁が運用する補助金電子申請システム「」の公開APIをModel Context Protocol（MCP）サーバーとして実装。FastMCPフレームワークを使用し、LLMから自然言語で補助金検索・詳細取得が可能です。
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)