Atono — MCP server for Claude Code: team product context in your AI
Feeds your coding assistant the team's user stories, bugs, epics and glossary. Handy when the assistant codes blind without product knowledge.
claude mcp add --env X_API_KEY=<X_API_KEY> --transport stdio atono -- docker run -i --rm -e X_API_KEY docker.io/atonoio/atono-mcp-server:1.1.1What Atono does
The server hands the assistant what your team already tracks: user stories, bug reports, epics and a term glossary. Through MCP those records land in the conversation, so suggestions rest on actual work items. Instead of guessing from repository files alone, the assistant writes with the task in view.
It runs as a container, docker.io/atonoio/atono-mcp-server:1.1.1, so Docker has to be on the machine first. Access goes through a key you pass as X_API_KEY when you register the server.
Registration differs by tool. Claude and Codex take a one-line claude mcp add or codex mcp add call, while Cursor and GitHub Copilot expect a JSON block under mcpServers or servers. Leave the key out and the server never reaches your data.
What it helps with
- pull a user story into the chat so the assistant codes to spec
- surface open bugs while working on a fix
- check the team glossary before naming things in code
- show a full epic to see the task boundaries
Example prompts for the agent
- Pull the login epic from Atono and split it into tasks for me.
- Find the open payment bugs in Atono and tell me what to fix first.
- Check which Atono glossary terms I got wrong in this file.
How to install Atono
Platform CLI
claude mcp add --env X_API_KEY=<X_API_KEY> --transport stdio atono -- docker run -i --rm -e X_API_KEY docker.io/atonoio/atono-mcp-server:1.1.1Replace <…> with your own values
Platform CLI
codex mcp add atono --env X_API_KEY=<X_API_KEY> -- docker run -i --rm -e X_API_KEY docker.io/atonoio/atono-mcp-server:1.1.1Replace <…> with your own values
Config file
{
"mcpServers": {
"atono": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"X_API_KEY",
"docker.io/atonoio/atono-mcp-server:1.1.1"
],
"env": {
"X_API_KEY": "<X_API_KEY>"
}
}
}
}Replace <…> with your own values
Config file
{
"servers": {
"atono": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"X_API_KEY",
"docker.io/atonoio/atono-mcp-server:1.1.1"
],
"env": {
"X_API_KEY": "<X_API_KEY>"
}
}
}
}Replace <…> with your own values
Platform CLI
gemini mcp add -e X_API_KEY=<X_API_KEY> atono docker run -i --rm -e X_API_KEY docker.io/atonoio/atono-mcp-server:1.1.1Replace <…> with your own values
Step by step, with commands for each platform: How to add an MCP server to Claude Code, Codex, Cursor, VS Code, Gemini CLI and more
Questions about Atono
How do I install Atono in Claude Code?
Run claude mcp add --env X_API_KEY=<X_API_KEY> --transport stdio atono -- docker run -i --rm -e X_API_KEY docker.io/atonoio/atono-mcp-server:1.1.1 with your own key filled in.
What does Atono do?
It gives an AI assistant the team's product context: stories, bugs, epics and a glossary. Answers then follow the real work items.
What do I need before running it?
Docker plus an Atono key. The key goes into X_API_KEY when the server is registered.
