Cursor Руководство установки
AI-редактор кода, часто используемый с developer MCP.
MCP Servers
A MCP server project that creates powerpoint presentations
OCTAVE protocol - structured AI communication with 3-20x token reduction. MCP server with lenient-to-canonical pipeline and schema validation.
WordPress block-level CRUD MCP server — path-based mutations, safety guards, preference scoring
支持ida headless 多文件分析
MCP server that teaches AI models to generate interactive visualizations — charts, diagrams, mockups, and more.
A standalone local-only Python MCP server that gives any IDE persistent, workspace-isolated memory. works with any IDE supporting MCP servers
Agent-driven Adobe After Effects automation. MCP server + CEP plugin enabling Codex/Cursor/Claude Code to drive AE through 30 ae.* tools.
An MCP server that provides tools for sending and testing in sandbox via Mailtrap.
Pipecat MCP Server gives your AI agents a voice using Pipecat. It should work with any MCP-compatible client:
MCP remote server for AI Engineer World's Fair 2025
@cyanheads/pubmed-mcp-server Search PubMed/Europe PMC, fetch articles and full text (PMC/EPMC/Unpaywall), citations, MeSH terms via MCP. STDIO or Streamable HTTP. 10 Tools • 1 Resource • 1 Prompt
MCP Memory Server with DuckDB backend
Agent Skills
Continuous code review for AI coding agents. roborev runs in the background, reviews every commit as agents write code, and surfaces issues in seconds -- before they compound.
A 🇨🇳 and 🇺🇸🇬🇧 translator in your command line, powered by iciba, youdao and LLM.
Your AI skills and agents, finally organized.
A collection of Pi Coding Agent customized instances. Why? To showcase what it looks like to hedge against the leader in the agentic coding market, Claude Code.
📚 Check out the comprehensive docs with detailed guides, examples, and best practices!
Get your animations easily done with only Tailwind CSS classes.
SkillsBench evaluates how well skills work and how effective agents are at using them.
upfetch is an advanced fetch client builder with standard schema validation, automatic response parsing, smart defaults and more.
For more advanced capabilities and end-to-end machine learning, visit www.k-dense.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。
Easy AI 让 AI 学习变得真的简单。 一个面向 AI 学习者、开发者和创作者的知识网站。
critique Beautiful diff viewer for terminals, web previews, and agents.