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
This is a Model Context Protocol (MCP) tool that allows Claude to interact with Microsoft Outlook for macOS.
A JetBrains IDE plugin that exposes an , giving AI coding assistants full programmatic control over the debugger.
Model Context Protocol (MCP) is a standardized protocol for managing context between large language models (LLMs) and external systems.
📝 : MCP Servers over Streamable HTTP (Step-by-Step)
A Model Context Protocol (MCP) server for comprehensive OPNsense firewall management. This server enables AI assistants like Claude to directly manage firewall configurations, diagnose network...
This project implements a Model Context Protocol (MCP) server that interacts with Shopify Dev. This protocol supports various tools to interact with different Shopify APIs.
ThingsPanel IoT Platform's MCP (Model Context Protocol) Server.
MCP Server for interacting with the Figma API. This server provides a complete set of Figma API methods through the Model Context Protocol.
A Model Context Protocol (MCP) server implementation for LunchMoney, providing programmatic access to personal finance management through LunchMoney's API. Also available as an MCP Bundle (.
This is a plugin for Unreal Engine (UE) that creates a server implementation of Model Context Protocol (MCP). This allows MCP clients, like Anthropic's Claude, to access the full UE Python API.
An MCP (Model Context Protocol) server that gives AI agents full access to the X (Twitter) API. Post tweets, search, read timelines, like, retweet, upload media -- all through natural language.
A Model Context Protocol (MCP) server for Intervals.icu integration. Access your training data, wellness metrics, and performance analysis through Claude, ChatGPT, and other LLMs.
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!