Claude Desktop Руководство установки
Десктопный клиент с поддержкой локальной конфигурации MCP.
MCP Servers
🚀 Generate executable TypeScript tools from MCP servers with 98% token savings. Progressive loading pattern for AI agents. Production-ready.
A simple MCP server that provides hourly weather forecasts using the AccuWeather API.
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
Build ToolJet apps end-to-end via governed MCP tools and an app-builder skill.
kiro SPEC mode impl by mcp
Connect to MCP servers right from your shell. Plugin for simonw/llm.
可扩展的节点流编辑器与工作流引擎，内置 MCP，支持 AI 自动生成节点与流程。An extensible node-flow editor and workflow engine with built-in MCP, enabling AI-powered generation of nodes and workflows.
An MCP server for semantic code search & navigation that helps AI agents work efficiently without burning through costly tokens.
MCP server for orchestrating Claude Code or Codex sessions via iTerm2 or tmux
The agent never holds a kubeconfig. Every write is policy-checked, human-approved, and traced.
An MCP App for AI-powered video creation. It combines an MCP server with an interactive View — the model writes React/Remotion code, the server compiles it in real-time, and a live video player...
Complete Docker-based AI operations infrastructure: Paperclip, n8n, Supabase, OpenClaw, ruflo, and MCPs
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.