Systemonomic — Work Domain Analysis & AI Task Suitability for Gemini CLI
io.github.tonyc23/systemonomic-mcp
Model work domains, score tasks for AI suitability, and design organisations.
client:Gemini CLI
transport:stdio
runtime:pypi
Install Systemonomic — Work Domain Analysis & AI Task Suitability in Gemini CLI
~/.gemini/settings.json · windows: %USERPROFILE%\.gemini\settings.json
{
"mcpServers": {
"systemonomic-mcp": {
"command": "uvx",
"args": [
"systemonomic-mcp"
],
"env": {
"SYSTEMONOMIC_API_KEY": "<SYSTEMONOMIC_API_KEY>"
}
}
}
}
Gemini expands $VAR and ${VAR} inside env values, so a secret can live in your shell rather than this file. Gemini CLI docs