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
| Type | MCP server |
| Section | MCP servers |
| Pricing | free |
| Platform | Command line |
| Systems | All |
| Hosting | local |
| Install | mcp |
| Who for | разработчики |
| Protocols | mcp |
| Site language | en |
| GitHub | atono-io/atono-mcp-server |
| Launched | 2026-08-10 |