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개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers
A Model Context Protocol (MCP) server implementation that provides the LLM an interface for visualizing data using Vega-Lite syntax.
mcp-debugger is a Model Context Protocol (MCP) server that exposes step-through debugging as structured tool calls.
A multi-backend reverse-engineering MCP server. Exposes binary analysis capabilities from IDA Pro and Ghidra over the Model Context Protocol, letting LLMs drive reverse-engineering tools directly.
Fast, token-efficient web content extraction for AI agents - converts websites to clean Markdown.
A for Joplin note-taking application via its Python API joppy, enabling AI assistants to interact with your Joplin notes, notebooks, and tags through a standardized interface.
An Model Context Protocol (MCP) server for searching your Claude Code conversation history. Find past solutions, track file changes, and learn from previous work.
A Model Context Protocol (MCP) server that enables AI agents to control REAPER DAW — 58 tools covering project management, tracks, MIDI, FX, mixing, mastering, rendering, and audio analysis.
透過 MCP（Model Context Protocol），使 AI 工具能夠與 LINE Desktop 整合，並執行訊息的讀取與發送操作。
An AI-powered Model Context Protocol (MCP) server providing intelligent access to authoritative design systems knowledge.
"primitive" RAG-like web search model context protocol (MCP) server that runs locally. ✨ no APIs ✨
RobotMCP (rf-mcp) is a Model Context Protocol (MCP) server that hands your coding agent the keys to Robot Framework.
A Model Context Protocol (MCP) server implementation that integrates with multiple search providers for web search, local browser search, URL discovery, and scraping capabilities with agent-browser.
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!