Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers

— codebase-memory-mcp-pro is a community fork of (MIT License, © 2025 DeusData), maintained by @win4r.

— 优先支持静态分析、dry-run 与本地靶场。exploit、横向移动、持久化、C2、数据外传等高风险能力属于受限实验特性;policy 与 sandbox 元数据不等同于操作系统或容器级隔离。

This Agent MCP allows you to train external intelligence with zero GPU and let you trade it at Tetrees EX

MCP server for interacting with the Aseprite API

A Claude Code skill + MCP server setup for expert-level Meta Ads campaign analysis. Includes the framework, Learning Phase diagnostics, and 9 reference documents from Meta's official documentation.

MCP server that implements Claude Code's agent teams protocol for any MCP client.

MoLing is a computer-use and browser-use MCP Server that implements system interaction through operating system APIs, enabling file system operations such as reading, writing, merging, statistics,...

Claudeに身体性を与えるMCP群

A simulated Claude Code project you can click through. Every file and folder in the sidebar is a real Claude Code concept — the same .

Each RAG component was sharpened on its own, then folded into one repository: multi-identity auth, observability and systemd supervision come with it.

- Fully support all features and syntax of ECharts, include data, style, theme and so on. - Support exporting to png, svg, and option formats, with validation for ECharts to facilitate the model's...

MCP server that enables the use of OpenAI's high-end models and their powerful web search capabilities.
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.