Entroly for Gemini CLI
io.github.juyterman1000/entroly
Context Assurance for AI agents: context engineering, AI cost optimization, verification.
client:Gemini CLI
transport:stdio
runtime:pypi
Install Entroly in Gemini CLI
~/.gemini/settings.json · windows: %USERPROFILE%\.gemini\settings.json
{
"mcpServers": {
"entroly": {
"command": "uvx",
"args": [
"entroly"
],
"env": {
"ENTROLY_MCP_PROFILE": "<ENTROLY_MCP_PROFILE>",
"ENTROLY_MCP_PASSIVE": "<ENTROLY_MCP_PASSIVE>",
"ENTROLY_NO_DOCKER": "<ENTROLY_NO_DOCKER>"
}
}
}
}
Gemini expands $VAR and ${VAR} inside env values, so a secret can live in your shell rather than this file. Gemini CLI docs