Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
A Model Context Protocol (MCP) server that provides tools for interacting with MindReset devices. This server implements the official MindReset API endpoints for displaying text and images on...
EU AI Act MCP (Model Context Protocol) that connects to your AI agents, helping you to comply with the EU AI Act.
Self-hostable, MCP-native testing platform. Manual test management, deterministic runs, optional AI. Your stack, your LLM, your data.
MCP server that generates ATS-friendly CVs, cover letters, and email templates tailored to any job description
MCP server providing code intelligence using static analysis
Convert PDF, Word, PowerPoint, HTML, email & 40+ formats to clean Markdown — and back. Built for LLMs, RAG & Python pipelines, with a built-in MCP server.
🦀 High-performance local RAG server in Rust that integrates with Claude Desktop via MCP. Search PDF documents privately using Ollama embeddings - no external API calls.
Model Context Protocol (MCP) server for JetBrains TeamCity: control builds, tests, agents and configs from AI coding assistants.
MCP server for UPS APIs
DocSpace MCP Server
Expose, secure, and observe MCP servers — from your laptop to production clients.
agentic-obs: A Model Context Protocol (MCP) server that provides AI assistants with programmatic control over OBS Studio via the OBS WebSocket API.
Agent Skills
A personal library of Claude Code skills — installable prompt extensions that give Claude Code new capabilities.
From TypeScript Source → Rebuilt in Python with ❤️
一个用于 AI 编程助手的社交媒体发布技能，基于 agent-browser 实现自动化发布内容到各大社交平台。
大多数 AI 翻译生硬、欧化、一眼就能看出是机翻。**专为书籍级长文本设计，核心承诺是**。
📦 本仓库已收录至 openclaw-skills（聚合仓库，包含更多 Skills）。推荐 Star 聚合仓库以获取全部更新。
See the Kocoro product site for the current product demo.
A simple testing framework for bash scripts
Feed your AI something healthier than Markdown. allium-lang.org
把课程材料变成可持续学习、可反馈、可复习、可沉淀的 Obsidian 学习系统。
Skills shared by Canghe for improving daily work efficiency with Claude Code.
CatchMe: Make Your AI Agents Truly Personal
Empirically detect the repetitive defaults a model falls back on, then turn those findings into a reusable instruction file that makes future outputs less generic.