Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers
Unlock 650+ MCP servers tools in your favorite agentic framework.
This marketplace provides MCP (Model Context Protocol) servers and skills for life sciences tools. Install these plugins to access specialized research and analysis tools directly within Claude Code.
MCP server SDK/example implemented entirely in bash — build a Model Context Protocol server with no runtime dependency beyond a POSIX shell.
Supports GPT Image 2, Seedance & ComfyUI, with a 1,400+ prompt library, carefully crafted hooks and a multi-task orchestration system
Unified real-time search MCP server supporting general web search, vertical domain search, parallel batch search, and full-page URL content extraction.
Open Multi-Agent Canvas, created by CopilotKit is an open-source multi-agent chat interface that lets you manage multiple agents in one dynamic conversation. It's built with Next.
🚀 Universal SDK for building next-gen MCP servers
Dáàn A Lightweight Language Model Client English | 中文
A lightweight Ruby framework for implementing MCP (Model Context Protocol) servers with a Sinatra-like DSL.
A comprehensive Model Context Protocol (MCP) server implementing the latest specification.
Official agent plugin providing skills and MCP server configurations for Azure scenarios.
Composable AI Agents & Realtime Data Interfaces Powered by Model Context Protocol CA:0x7bfdb47ab24b6cb7017865431179e150d4bc4444
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!