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
locklens 是一个基于 audit-ci 的 lockfile 审计工具，支持三种运行模式：
AnalyticDB for MySQL MCP Server is a universal interface between AI Agents and AnalyticDB MySQL. It provides two tool groups:
The only Apple Mail MCP server with — reliable on large mailboxes where AppleScript-based servers timeout. 8 tools for reading, searching, and extracting email content.
把小米 MiMo 全模态能力(对话/图像/视频/TTS/声音克隆)封装成 stdio MCP Server,Claude Code 与 Codex 可直接调用
Index documents from Jira, Confluence, or local files into a local vector database and search them. All data stays on your machine.
AgentMail has one MCP tool implementation, hosted at:
Offensive security you run yourself — a local MCP workflow for authorized testing, in CI or against staging.
Production-grade vector memory MCP server for Claude Code. Semantic search, per-project isolation, rules enforcement, team sharing via git.
A Claude Code plugin that turns Remotion from a motion graphics tool into a .
claude-mem-lite is a (also called long-term memory or cross-session context) system for — Anthropic's CLI coding agent.
🍎 Mac (Apple Silicon) adaptation of baidu/Unlimited-OCR 6.7B VLM. .cuda()→.to('mps') patches + autocast workaround + MCP server. 20s/document on M4 Pro.
AI 에이전트에게 라고 말하면, 흩어진 자료(웹 링크·PDF·대화 로그·텍스트)를 **하고, 관련 있는 노트끼리 **하고, **하고, **까지 해 주고, 원하면 **해주는 **이에요. (Codex엔 "플러그인 설치(/plugin)"가 없어서, 대신 저장소를 받아 codex mcp add로 **해 연동해요.)
Agent Skills
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
the runtime your coding agents live on
Small, composable skills for coding agents.
Think package.json, requirements.txt, or Cargo.toml — but for AI agent configuration.
The official Lark/Feishu CLI tool, maintained by the larksuite team — built for humans and AI Agents.
Personal dotfiles with modern shell tooling, optimized for Laravel/PHP development. Features fast startup times, smart directory navigation, and modern CLI tools.
Building AI agents, atomically
Режим идиоматического русского мата для AI-агентов. Короче, душевнее, эффективнее. 18+
Open-source, local-first desktop AI research workbench for scientific computing with Python/R, MCP bioinformatics tools, SSH/WSL/GPU runtimes, and OpenAI/Anthropic models.
Autonomous research system for measurable, computer-executable research.
LLM-compiled knowledge bases for any AI agent. Parallel multi-agent research, collector catalogs, automated session capture, feedback curation, thesis-driven investigation, source ingestion, wiki...
You don't write AGENTS.md. You train it with gradient descent.