Give your AI coding tools your team's product context: stories, bugs, epics, and glossary.
AI is almost right. That's the harder problem. · Stories that stay alive. Feature flags built in. Analytics connected to what you shipped. Keep context intact from planning through delivery. · Better prompts won't fix this. · We tested our own AI specs. 60% needed changes. · A collaborator that already knows your product. · How Atono builds product knowledge
oci:docker.io/atonoio/atono-mcp-server:1.1.1
| Тип | MCP-сервер |
| Категория | MCP-серверы |
| Цена | бесплатно |
| Платформа | Командная строка |
| Системы | All |
| Хостинг | local |
| Установка | mcp |
| Для кого | разработчики |
| Протоколы | mcp |
| Язык сайта | en |
| GitHub | atono-io/atono-mcp-server |
| Запуск | 2026-08-10 |