Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
Things.app MCP Server
An MCP server that can bridge various LLMS (Claude and Cursor tested) with the x64dbg debugger, providing direct access to debugging applications through prompts.
Real-time data — and real trades — for Claude and any AI agent.
TDA - Thread Dump Analyzer (for Java). Analyze your Thread Dumps with a GUI or use it as MCP Server.
- Connect Claude Desktop, ChatGPT, and other AI assistants directly to your n8n instance for seamless workflow management, creation, and execution through the Model Context Protocol (MCP).
MCP server retrieving transcripts of YouTube videos
A lightweight MCP server that provides Claude with a private journaling capability to process feelings and thoughts
📖 Docs · ⭐ Star us · memtrace.io · npm · Discord
MCP server exposing SSH control for Linux servers via Model Context Protocol.
The Official Model Context Protocol (MCP) server for Kagi Search & other tools.
High-performance Model Context Protocol (MCP) server for Obsidian that provides AI tools with direct vault access through semantic operations and HTTP transport.
MCP Server for interacting with Salesforce instances
Agent Skills
- 京东购买链接：https://u.jd.com/RDY9YwC - 电子书购买链接：https://www.ituring.com.cn/book/3616
Universal motion design principles for AI agents. Philosophy-first, implementation-agnostic.
This repository contains a Codex/Clawd skill definition for (Quick Markdown Search).
⭐ All-in-one AI companion! Super Agent Party = Self hosted neuro sama + openclaw! ⭐ 全能AI伴侣！超级智能体派对 = 自托管neuro sama + openclaw!
⚠️ 本仓库已停止维护，不再更新。作者后续所有的开源 Skills 将统一发布至 garden-skills 仓库，欢迎 Star 关注，获取最新动态 ✨
中国科研常用LaTeX模板集
ScienceClaw is a personal research assistant built with LangChain DeepAgents and AIO Sandbox infrastructure, adopting a completely new architecture beyond OpenClaw.
The `npx serve` of Apple Simulators.
AI SRE AgenticOps for Kubernetes and cloud infrastructure.
面向 GEO（Generative Engine Optimization）工作流的开源 Skill 仓库。
渐进交互式ppt生成skill
Self-improvement skill for OpenClaw. It captures learnings, errors, and feature requests to support continuous improvement across sessions.