Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers
A Model Context Protocol (MCP) server that provides tools to interact with the Dash documentation browser API.
An MCP (Model Context Protocol) server that enables AI assistants to analyze and summarize YouTube videos by extracting captions, descriptions, and metadata.
This is a typescript based companion Model Context Protocol(MCP) server for the Drupal MCP module that works with the STDIO transport. In order to use SSE transport this server is not required.
A Model Context Protocol (MCP) server for AI-driven MIDI composition. Generate MIDI files from structured JSON data, with chord name support, an interactive piano-roll preview UI, and multiple...
Claude Memory MCP Visualizer
Production-ready Playwright test automation starter for teams and startups: strict TypeScript, Page Object Model, environment management, interactive runner, custom HTML reporting (with optional JIRA...
This is a Model Context Protocol (MCP) server that provides tools for interacting with Temporal workflow orchestration.
MCPHub is an embeddable Model Context Protocol (MCP) solution for AI services. It enables seamless integration of MCP servers into any AI framework, allowing developers to easily configure, set up,...
An MCP (Model Context Protocol) server that enables Claude and Gemini CLI to interact with Hummingbot for automated cryptocurrency trading across multiple exchanges.
A Model Context Protocol (MCP) server that provides access to the Oura API. It allows language models to query sleep, readiness, and resilience data from Oura API.
Aircrack-MCP is a Model Context Protocol (MCP) server that enables large language models to interact with Aircrack-ng tools.
MCP server for controlling OriginLab Origin Pro via COM automation — enables AI assistants to create worksheets, plot graphs, style figures, and run curve fitting
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!