Trust Engine AI: model retirements and agent cost for Gemini CLI
io.github.dinevdecor/trust-engine-mcp
Model retirement dates with sources, public cost-vs-quality benchmark, local usage-cost check. Free.
client:Gemini CLI
transport:stdio
runtime:pypi
Install Trust Engine AI: model retirements and agent cost in Gemini CLI
~/.gemini/settings.json · windows: %USERPROFILE%\.gemini\settings.json
{
"mcpServers": {
"trust-engine-mcp": {
"command": "uvx",
"args": [
"trust-engine-mcp"
],
"env": {
"TRUST_ENGINE_OFFLINE": "<TRUST_ENGINE_OFFLINE>"
}
}
}
}
Gemini expands $VAR and ${VAR} inside env values, so a secret can live in your shell rather than this file. Gemini CLI docs