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개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers
tutorial for mcp server development
Build lightweight MCP servers in plain Java with annotations, generated schemas, and no Spring runtime
A desktop AI chat application built with Wails v2 (Go backend + Vue 3 frontend) that connects to OpenAI-compatible LLM APIs with MCP tool calling support.
A multi-agent collaborative screenplay storyboarding system that splits scripts in various formats into script units optimized for AI text-to-video generation durations.
Omnigentx Jarvis — voice + chat AI assistant powered by Fast Agent (MCP) with Vue dashboard. Single-user, self-hosted, multi-skill orchestration.
Connect the power of the Fabric AI framework to any Model Context Protocol (MCP) compatible application.
A Home Assistant conversation agent that uses MCP (Model Context Protocol) for efficient entity discovery, achieving compared to traditional methods. Works with LM Studio, llama.
This project provides Model Context Protocol (MCP) for the Mifos X Ecosystem, enabling AI agents to access financial data and operations.
Lighthouse for MCP — score any MCP server 0–100.
A Node.js package and GitHub Action for evaluating MCP (Model Context Protocol) tool implementations using LLM-based scoring, .
mcp_dart is a dual-era Dart and Flutter SDK for MCP clients, servers, and AI hosts. It implements the complete core client/server wire surface of the locked MCP 2026-07-28 specification, retains the...
A Model Context Protocol (MCP) server that enables AI agents to interact with Azure Cosmos DB through natural language queries.
Agent Skills
This project is under active development and evolving rapidly. Contributions, feedback, and discussions are warmly welcome.
Agent skill that audits vibe-coded apps for common security vulnerabilities introduced by AI coding assistants
A high-performance Markdown parser and renderer for Angular, React, Svelte, Vue, HTML and ANSI.
A collection of Codex/agent skills for planning, documentation access, frontend development, and browser automation.
简单说，就是跟 Claude 说一句话，它会帮我从每天的新论文里筛一轮，挑出值得看的，再把重点论文读完、写成 Obsidian 笔记。日常不用记一堆命令，基本就是：