Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers
A Model Context Protocol (MCP) server that provides fine-grained control over a Chrome browser instance through the Chrome DevTools Protocol (CDP).
A Model Context Protocol (MCP) server for converting Markdown content to interactive mindmaps.
一个集成 Dify AI API 的 Model Context Protocol 服务器
MCP 资源精选， MCP指南，Claude MCP，MCP Servers, MCP Clients
Let AI assistants read and write your Yuque (语雀) knowledge base through the Model Context Protocol.
A Model Context Protocol server for ArangoDB
This is MCP server for Claude that gives it terminal control, file system search and diff file editing capabilities
A Model Context Protocol server for Scrapezy that enables AI models to extract structured data from websites.
Programmatic access to Gemini Notebook - via command-line interface (CLI), Model Context Protocol (MCP) server, and AI agent skills.
A native macOS companion app for the Hermes AI agent . Full visibility into what Hermes is doing, when, and what it creates.
Call MCPs via TypeScript, masquerading as simple TypeScript API. Or package them as cli.
Model Context Protocol server that enables Claude Desktop to interact with and view tmux session content.
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!