Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers
A Model Context Protocol (MCP) server that provides tools for managing GitHub Projects V2 through Claude and other MCP clients.
A Model Context Protocol (MCP) server that enables communication and coordination between multiple AI agents
Reduce token usage. All local and open-source.
Bybit MCP Server enables AI assistants like , , , and other MCP-compatible clients to interact directly with the Bybit cryptocurrency exchange.
AI-powered LinkedIn analytics, content creation, and engagement automation through MCP
A self-contained MCP server in docker that combines the Crawl4AI, SearXNG, and Supabase to provide AI agents and coding assistants with complete web search, crawling, and RAG capabilities.
Open-source MCP server for secure, low-latency cloud-browser automation on Kernel.
MCP server for seamless Figma design integration with AI coding tools
MCP server for Pancake POS — 23 tools across orders, inventory, CRM, multi-channel commerce. Bun + TypeScript, runs on stdio / HTTP / Cloudflare Workers.
🚀 MCP Server para Hyperliquid DEX - Trade com Claude usando linguagem natural. Desenvolvido por Caio Vicentino para as comunidades Yield Hacker, Renda Cripto e Cultura Builder
한글 문서(HWPX)를 읽고 쓰는 MCP 서버 — 125개 도구. npm: @kimdayoun/hwpx-mcp
Model Context Protocol (MCP) server for Genesys Cloud’s Platform API
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!