Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
MCP server: Project PLATEAU 3D city data as scene-editing and glTF export tools for creative LLM agents.
Gemini Vision & Image Generation MCP for Claude Desktop and Claude Code
Ever tried using Cursor or Claude to write Playwright tests? Yeah, it's kind of a mess.
A Multi Agent Memory MCP That Connect Agents Across Systems and Machines
MCP server for Google Gemini image generation with configurable model support.
MCP MySQL Server 是一个基于 @modelcontextprotocol/sdk 的 MySQL 工具服务，支持 SQL 查询、表结构获取、连接检测等功能，适用于 AI 代理、自动化工具等场景。
is a media-generation agent: generate images, video, and audio, transcribe, render HTML, search the web, run code, and chain multi-step media operations — from any MCP client.
MCP server for Fly.io CLI integration with Claude Desktop
I've been running this Gemini MCP server in my Claude Desktop setup for months. It's one of the few I leave on permanently — not because Gemini replaces Claude, but because grounded search, image...
The jMRI (jMunch Retrieval Interface) specification — an open interface standard for token-efficient context retrieval in MCP servers.
Review Analyzer — agent-native VOC for e-commerce. 6 MCP tools, ASIN or CSV input, black-gold dashboard. Backed by Shulex VOC OpenAPI (10 markets).
A standalone local-only Python MCP server that gives any IDE persistent, workspace-isolated memory. works with any IDE supporting MCP servers
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.