proxyllm mcp for Gemini CLI
ai.proxyllm/proxyllm-mcp
OpenAI-compatible LLM gateway: models, savings math, key provisioning, autonomous email-OTP signup
client:Gemini CLI
transport:stdio
runtime:npm
Install proxyllm mcp in Gemini CLI
~/.gemini/settings.json · windows: %USERPROFILE%\.gemini\settings.json
{
"mcpServers": {
"proxyllm-mcp": {
"command": "npx",
"args": [
"-y",
"proxyllm-mcp"
],
"env": {
"PROXYLLM_ACCOUNT_TOKEN": "<PROXYLLM_ACCOUNT_TOKEN>",
"PROXYLLM_ROUTING_KEY": "<PROXYLLM_ROUTING_KEY>"
}
}
}
}
Gemini expands $VAR and ${VAR} inside env values, so a secret can live in your shell rather than this file. Gemini CLI docs