SlashML (/ml) Embodied Robotics 6-DoF Spatial Memory for Gemini CLI
io.github.slashml-ai/slashml-robotics
Persistent 6-DoF SE(3) spatial world state, object trajectories, and affordances for robotics.
client:Gemini CLI
transport:stdio
runtime:pypi
Install SlashML (/ml) Embodied Robotics 6-DoF Spatial Memory in Gemini CLI
~/.gemini/settings.json · windows: %USERPROFILE%\.gemini\settings.json
{
"mcpServers": {
"slashml-robotics": {
"command": "uvx",
"args": [
"slashml-robotics"
],
"env": {
"SLASHML_API_KEY": "<SLASHML_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