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
MCP server for orchestrating Claude Code or Codex sessions via iTerm2 or tmux
A Model-Context Protocol server for the MITRE ATT&CK knowledge base
gives AI agents a persistent, searchable memory they can use across sessions. V2.1 adds SQLite, full-text search, user-editable categories, safer Docker defaults, and verified backup-first upgrades.
Bilibili 视频字幕/弹幕/评论提取 MCP Server — 扫码登录，自动提取字幕/弹幕/评论与元数据，输出结构化 Markdown 供 AI 理解
An MCP server implementation that integrates with SearXNG, providing privacy-focused meta search capabilities.
Safe DOCX suite: docx-primitives, docx-comparison, safe-docx MCP server
微信 4.0 (Windows) 本地数据库解密工具。从运行中的微信进程内存提取加密密钥，解密所有 SQLCipher 4 加密数据库，并提供实时消息监听。
AI-powered CLI and MCP server for browsing GitHub project documentation (unofficial tool)
Production-grade vector memory MCP server for Claude Code. Semantic search, per-project isolation, rules enforcement, team sharing via git.
Autonomous DFIR agent — SANS SIFT Workstation MCP server for incident response
轻便的人机共读MCP
A Claude Code skill + MCP server setup for expert-level Google Ads campaign analysis
Agent Skills
以繁體中文完成短篇／豎屏短劇的選題、結構、角色、分場、臺詞、衝突、反轉、格式與修改。
is a graph-centric framework for orchestrating Multi-Agent Systems with :
CharacterArc（弧光）不是"只会对话的 AI 壳子"，而是一套围绕小说项目组织、章节写作与 AI 协作搭起来的桌面工作台。
Reusable XCrawl skill definitions for multi-agent runtimes, focused on API-first web data workflows. Canonical repository: https://github.com/xcrawl-api/xcrawl-skills
16 cohesive skills + 2 custom subagents walk an idea from brainstorm through implementation, with checkpoints throughout where you stay in control.
🌐 ：dg-ai-notes.pages.dev —— 双轨教程 · 沉浸式阅读 · 深浅色主题
see README.en.md for the full English version.
A curated list of autonomous improvement loops, research agents, and autoresearch-style systems inspired by Karpathy's autoresearch.
An agent that helps Indian individual taxpayer prepare and e-file an Income Tax Return (ITR-1/2/3/4) on the official portal — under .
AgentOps is the operations layer for agentic engineering.
Stop AI agents from doing things you didn't ask for.
From real materials to reports with a fully autonomous & skill-driven researcher.