Claude Desktop インストールガイド
ローカル MCP 設定に対応するデスクトップクライアント。
MCP Servers

This MCP server provides read-only access to MySQL databases. It allows you to:

The easiest path to getting an MCP server going

一个功能强大的知乎收藏夹导出工具,支持将知乎收藏夹(公开和私密)批量导出为 Markdown 格式文件。支持自定义输出路径、跨平台兼容、图片下载和 Obsidian 兼容格式。支持使用大模型API一键生成文章总结。

wp-blockmarkup-mcp is a local MCP server that extracts, validates, and indexes every Gutenberg block from WordPress core, WooCommerce, or any block-based plugin you work with.

A persistent memory system that captures, classifies, synthesizes, and retrieves knowledge for AI agents. One brain, multiple agents, compounding intelligence.

Self-hosted mem0 MCP server for Claude Code. Run a complete memory server against self-hosted Qdrant + Neo4j + Ollama, with your choice of Anthropic (Claude) or Ollama as the main LLM.

Give Claude Code eyes for your frontend. No more blind debugging where Claude guesses about your UI, you take screenshots, and you go back and forth hoping it understands what's broken.

Autonomous DFIR agent — SANS SIFT Workstation MCP server for incident response

An MCP server for your API

Official Huawei Cloud plugin for AI agents — skills, MCP tools, safety guardrails, and cloud sandbox to help AI agents build, deploy, and operate on Huawei Cloud securely.

A local-first MCP server that gives AI agents shared, durable memory through hybrid semantic search, SQLite FTS5, and a knowledge graph—without Docker or a required cloud service.

轻便的人机共读MCP
Agent Skills

A Claude Code skill providing the latest OWASP security best practices (2025-2026) for developers building secure applications.

**是一个 AI Skill——不是魔法棒,不是"一键生成好莱坞剧本"的营销噱头。它是一个经过精密设计的**,把成熟故事一步一步转化为标准影视剧本、分镜方案和数字资产清单。

compile lua2c (single binary with embedded scripts)

An easy-to-use web framework. Based on baize and pydantic.

· Next-Gen Transparent Agent Architecture

주요정보통신기반시설(CII) 취약점 분석평가, AI 보안 평가, 로봇 보안 점검, 우주 보안 점검, 시큐어코딩 가이드, 제로트러스트 보안 평가, SW 공급망 보안(SBOM)을 위한 Claude Code 스킬 플러그인입니다.

Local-first AI agent framework built for small models, with optional hybrid cloud support.

AI defaults to the mean. Models are trained on millions of average websites. If you don't constrain them, they will build an average website.

A skill that turns any goal into one short, paste-ready prompt. That prompt makes your agent pick a real quality bar, split the work into small pieces, run a builder and a separate harsh critic on...

This project is currently in the testing stage. Star it, try it, and feel very welcome to share suggestions and feedback.

这是一个用 Python 从零构建 AI Agent 的教学项目。项目核心是 build-agent-example/:从一次模型调用开始,后续每一步都保留前一步的全部代码和能力,逐步加入循环、history、system prompt、工具、skills、memory、规划、子代理、团队协作、MCP 和 hooks。

给 Gemini CLI、Claude Code、Codex 等 AI 编程助手使用的 HarmonyOS NEXT 离线参考技能库。