Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
A simple CLI to run LLM prompt and implement MCP client.
结合 Vue 3 前端 + FastAPI 后端 + LitServe GPU负载均衡
A Playwright-based Node.js tool that bypasses search engine anti-scraping mechanisms to execute Google searches and extract results.
Agent-native knowledge engine — search, deep-read, and build knowledge bases from Markdown, PDF, DOCX, and PPTX.
We don't make AI smarter. We make it experienced. AI coding memory — the local-first memory + judgment layer for AI coding agents. Save up to 50%+ of AI tokens. Stop repeating yesterday's bug.
🔥🔒 Awesome MCP (Model Context Protocol) Security 🖥️
An experimental Model Context Protocol (MCP) server that provides AI assistants with powerful structural code search capabilities using ast-grep.
Let AI agents debug your code inside VS Code - set breakpoints, step through execution, inspect variables, and evaluate expressions. Works with , , , , , , , and any MCP-compatible assistant.
Baidu Map 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.
Universal MCP-Server for your Databases optimized for LLMs and AI-Agents.
微信读书MCP
Agent Skills
AutoClaw is a hyper-lightweight AI agent designed to live inside Docker containers. Unlike heavy, GUI-dependent agents, AutoClaw is built for headless, massive-scale concurrency.
A skill for AI coding agents that enables full control of Obsidian vaults from the terminal using the official (v1.12+).
Clip any video into a narration recap with claude code skill｜用 claude code skill 把任何视频剪辑成中文解说视频，支持剪映导出
A simple template for creating persistent AI companions that remember you
The Finn-loop: a 3-skill AI software factory for Claude Code — spec, build, review. Humans merge.
我自己在用的 Claude Code Skill 合集。 一次 clone，装好里面全部 skill。
139个完整的小红书运营技能 - Claude Code 技能插件系统。覆盖内容创作、账号运营、互动运营、数据分析、电商转化、平台规则、工具生态、营销推广、增长策略9大分类。
做企业 AI 视频项目逼出来的工具包 · 411 prompt · 15 模型 · 7 Claude Skill · 14 篇方法论
An analysis of Moonshot AI's Kimi agent architecture (K2.5 model).
⚠️ 本项目是作者为**而创建的个人学习项目，代码结构和实现均以探索为目的，。 ：网页版 AI 对工具调用的支持参差不齐，稳定性和准确性均有较大局限，距离实用仍有差距。 OpenLink 通过浏览器扩展模拟用户操作来驱动网页 AI，，不适合作为日常 API 调用使用。请合理使用，勿滥用。
This collection of skills grew out of my day-to-day paper-writing workflow and has been iteratively refined over time.
managed-agents helps teams move AI agents from demos to production with runtime infrastructure for sessions, tools, approvals, sandboxed execution, memory, credential vaults, audit trails, replayable...