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
- Add @Tool / @McpTool to every method - Duplicate business logic into a parallel "MCP" code path - Maintain separate tool descriptions
565 AI-callable tools across 16 MCP servers controlling Blender, Substance Painter, Substance Designer, Substance Sampler, Maya, Houdini, and Unreal Engine 5 — unified under a single AI agent.
A curated and opinionated list of awesome Model Context Protocol (MCP) best practices as they pertain to building MCP Servers and MCP Clients.
A comprehensive, asynchronous client for the . It bridges the gap between powerful AI models like Anthropic's Claude and a universe of external tools, local/remote servers, and contextual data...
A guide on how to use the Amplitude MCP server
A Model Context Protocol (MCP) server that provides comprehensive access to MLB statistics and baseball data through a FastMCP-based interface.
RagCode is a that instantly makes your project . It enables AI assistants like , , , and to understand your entire codebase through , bridging the gap between your code and Large Language Models...
Connect any tool that has a REST API, CLI or SDK to your Claude, Cursor, VS Code, or any other AI Client that supports MCP (Model Context Protocol)
这是一套完整的 MCP (Model Context Protocol) 服务器开发模板，基于 crawl-mcp 项目的实践经验打造，帮助开发者快速构建高质量的 MCP 服务器。
The Beancount MCP Server is an experimental implementation of the Model Context Protocol (MCP) designed to interface with Beancount ledger files.
I'm not quite sure this works as is 😂 You may need to ask the model you're working with to clean it up:
A minimal MCP (Model Context Protocol) server that provides AI assistants with access to bpftrace kernel tracing capabilities.
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!