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
MCP Task Manager (npm package: taskqueue-mcp) is a Model Context Protocol (MCP) server for AI task management.
This is the repository for the LinkedIn Learning course Unboxing AI: Build a Remote MCP Server from Zero to Deployed with OAuth. The full course is available from LinkedIn Learning.
Learn Model Context Protocol (MCP) from scratch in plain Node.js. Build a working MCP server step by step with zero black boxes, from JSON-RPC and stdio transport to tools, prompts, resources,...
PhonePi MCP enables seamless integration between desktop AI tools and your smartphone, providing 23+ direct actions including SMS messaging, phone calls, contact management, snippet creation and...
HA-MCP Custom Component - HACS distribution mirror of homeassistant-ai/ha-mcp (integration only)
BGG MCP provides access to the BoardGameGeek API through the Model Context Protocol, enabling retrieval and filtering of board game data, user collections, and profiles.
A simple, secure MCP-to-OpenAPI proxy server
Supercharge OCaml development with AI coding agents. This MCP server gives AI assistants deep integration with your OCaml projects through Dune, Merlin, and other OCaml Platform tools.
A powerful Model Context Protocol (MCP) server that brings comprehensive TouchDesigner operator documentation, Python API references, and tutorials directly to your AI coding assistant.
A MCP(Model Context Protocol) server for accessing Slack API. This server allows AI assistants to interact with the Slack API through a standardized interface.
A Model Context Protocol (MCP) server that enables AI assistants to securely search, analyze, and validate Splunk queries with built-in safety guardrails.
Talk to your Brightspace courses with AI. Ask about grades, due dates, announcements, and more. Works with Claude, ChatGPT, Cursor, and Windsurf.
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!