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개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers
MCP server for Ansys Electronics Desktop automation with PyAEDT, HFSS, Maxwell, Q3D, Icepak, native AEDT APIs, reports, sweeps, and simulation workflows.
🔌 Plug-and-play library to enable agents to call MCP and UTCP tools via code execution.
MCP, CLI, Skills for searching and downloading academic papers from multiple sources like arXiv, PubMed, bioRxiv, etc.
🗓️ Natural Language Calendar Management for macOS
A unified Model Context Protocol server implementation that aggregates multiple MCP servers into one.
Turn any MCP-compatible AI client into an image generator. Send a normal prompt, choose a backend mode, and get real saved image files back.
Community plugin to control Blender 3D with any LLM of your choice
Model Context Protocol server for the book Open and Async — async-first method tools plus the book's outline, taglines, and summaries. Ships the method, never the manuscript.
Find and automatically fix guardrail gaps, unsafe tools, missing validation, and unbounded loops in Claude Agent SDK, OpenAI Agents SDK, Google ADK, LangChain, CrewAI, and MCP agents — before...
Magic-API MCP Server - A Model Context Protocol server for Magic-API development
Model Context Protocol server for DeepSeek's advanced language models
A comprehensive toolkit for loading data into Qdrant vector database with advanced MCP server support for AI-powered development workflows.
Agent Skills
Agent skills extracted from real work. Each one shipped something first.
Personal Codex skills (drop-in folders under ~/.agents/skills/). Catalog: https://jmerta.github.io/codex-skills/
Open the interactive guide to learn more about the Skill
The open agent skills tool - npx skills
A curated list of essential skills, tools, and resources for building and enhancing advanced AI agents.
Keep your skills sharp. Intelligence for agent context.
Chainstack is the leading suite of services connecting developers with Web3 infrastructure
A structured Agent workflow for CUMCM, MCM/ICM, and Diangong Cup — designed to keep a 72–96 hour modeling project coherent from the first decision to the final submission.
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🧠 plan · 🔨 implement · 🔍 review · ✅ QA gate · 🚢 merge Thirty-five agent skills that run a full PR pipeline. Install them into any repo, with any coding agent.
for creating, directing, validating, and delivering image, video, audio, voice, music, 3D, avatar, and interactive media.
Running 5 AI agents in parallel is easy. Making them not break each other's code is the hard part.