Cursor 설치 가이드
개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers
Tailscale MCP server for managing your tailnet from AI assistants
MCP server for Blender. 191 tools for modelling, materials, rendering and more, driven by Claude, Cursor, Codex, Ollama, llama.cpp, or any MCP client.
MCP server that lets AI agents (Claude Code, Codex, Cursor) work inside your own Instagram session through the INSSIST Chrome extension
This is an MCP server that integrates PRD and TRD building tool Nautex AI with the Coding Agents.
A middleware server that enables multiple isolated instances of the same MCP servers to coexist independently with unique namespaces and configurations.
- The docker image is 2GB without pre-downloaded models. Its 3.76GB with pre-downloaded models!! Too big, someone please help me to reduce the size.
Burp MCP proxy with compression pipeline — reduces 182KB responses to ~4KB
Frame0 is a Balsamiq-alternative wireframe tool for modern apps. allows you for creating and modifying wireframes in Frame0 by prompting.
iPhone MCP server that lets AI use iPhones
This local proxy package is deprecated in MetaMCP's 2.0 all-in-one architecture.
91% of Deep Research quality · 5% of the cost · Works in every MCP client
- the original community MCP server for Unusual Whales by Erik Maday.
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!