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개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers

Persistent, local, cross-IDE memory for AI agents — markdown source of truth, LanceDB-powered semantic search, zero cloud dependency

This repository contains a complete tutorial on how to create an MCP (Modular Computational Platform) client in Python using FastAPI.

An MCP server that provides access to LLMs using the LlamaIndexTS library.

The ngrok alternative with .local domains, a scriptable CLI, and an MCP server for AI agents

Typed async Python clients + MCP server for Romania's ANAF web services: e-Factura, e-Transport, and public taxpayer lookups.

MCP server to extract contents from a PDF file

The purpose of the repo is to teach you how to make MCP servers. The target audience are non-technical with no real coding experience.

Open-source SAST engine that traces vulnerabilities across files and functions

The AI agentic designer — open-source React design system + MCP that lets Claude, Codex, Cursor & Gemini build production UI in minutes. No AI slop.

Shared MCP server for the Upvote.club Public API.

MCP server for flyonUI

The enterprise-grade TypeScript framework for building production-ready MCP servers. Decorators. Dependency Injection. Widgets. One framework to ship AI-native backends.
Agent Skills

This repository contains sample prompts and agent instructions for Microsoft Copilot, GitHub Copilot, and Microsoft 365 Copilot.

The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure

OpenOPC: Build Your Personal AI-Native Company — Self-Built, Self-Run, Self-Grown

本项目把传统术数相关的 AI skill 拆成可审计、可复用、可逐步扩展的工程模块。目标不是把模型包装成“更会玄学”,而是尽量减少它在排盘、流派口径、步骤顺序和解释链路上的幻觉。

Linear Chain-of-Thought anchors on whatever it says first. Tree-of-Thought widens the search but still walks a single shared context, so the anchoring persists across branches.

A motion and interaction design skill with — interactive components with purposeful motion, or existing animations.

A personal AI assistant that evolves with you. 8 different types of memory (episodic, semantic, procedural, emotional, prospective, behavioral, narrative, shared) make it truly yours.

AutoHarness Self-Learning Skills for Claude Code

1. 对话 skill 模式:在聊天中按 SKILL.md 约束执行单轮改写;安装本仓库作为 skill 后即可直接使用。 2. 脚本 API 模式:通过 scripts/run_aigc_round.py 执行单轮分段处理,并按需调用外部 OpenAI 兼容接口。 3. Web 模式:启动本地后端和前端页面,在浏览器中完成上传、配置、执行和导出。 4. app:安装app可直接使用

Personal Website & Blog Theme for Hugo

⚙️ A dependency injection toolkit based on Go 1.18+ Generics.

Claude Code를 위한 커스텀 스킬 모음입니다. 개발 생산성을 높이기 위한 다양한 자동화 스킬들을 제공합니다.