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

ThinQ Connect MCP Server

MCP Server for Apache Airflow

MCP server for Bear app - Full Read + Write AI-powered note management with Claude Desktop

TurboPush MCP Server - Connect AI agents (Claude, OpenClaw) to publish content across 20+ platforms including WeChat, Douyin, Bilibili, Xiaohongshu, and more via Model Context Protocol.

MCP server for generating draw.io diagrams using mxgraph. Create and manage diagrams programmatically or with AI and VSCode extension.

A MCP (Model Context Protocol) server that provides tools for controlling and interacting with Android devices using uiautomator2.

An MCP (Model Context Protocol) server that provides tools for checking Maven dependency versions.

MCP server for Meshy AI 3D generation platform

The Okta MCP Server is a groundbreaking tool built by the team at Fctr that enables AI models to interact directly with your Okta environment using the Model Context Protocol (MCP).

Collibra Model Context Protocol (MCP) Server

nRepl mcp server for clojure. Enables interaction with a running Clojure nREPL instance, allowing evaluation of Clojure code, namespace inspection, and other utilities via MCP.

An MCP server that provides real-time football data based on the SoccerDataAPI.
Agent Skills

Shiny for Python is the best way to build fast, beautiful web applications in Python. You can build quickly with Shiny and create simple interactive visualizations and prototype applications in an...
One Python API: store media, run models, index embeddings, serve endpoints, and version everything in a single system instead of gluing together blob storage, a vector DB, an orchestrator, and edge...

Adala is an **utonomous **ta (**abeling) **gent framework.

Beautiful UI components built for Better Auth.

KAI Scheduler is a robust, efficient, and scalable Kubernetes scheduler that optimizes GPU resource allocation for AI and machine learning workloads.

Your AI skills and agents, finally organized.

Model export recipes, Python primitives, and Swift runtime utilities for building on-device AI with Core AI.

本项目是基于吴恩达老师在 DeepLearning.AI 平台推出的 agent-skills-with-anthropic 系列课程的中文学习资料整理项目。我们致力于为中文学习者提供高质量的课程内容翻译、系统的知识点梳理以及详细的示例代码解读,帮助大家更轻松地掌握 Agent Skills。

A collection of AI agent skills focused on resume optimization, job applications, and career development.

For more advanced capabilities and end-to-end machine learning, visit www.k-dense.ai.

upfetch is an advanced fetch client builder with standard schema validation, automatic response parsing, smart defaults and more.

📚 Check out the comprehensive docs with detailed guides, examples, and best practices!