Argus Retrieval for Gemini CLI
io.github.khamel83/argus
Multi-provider search broker for AI agents: 14 providers, 12-step extraction, retrieval workflows.
client:Gemini CLI
transport:stdio
runtime:pypi
Install Argus Retrieval in Gemini CLI
~/.gemini/settings.json · windows: %USERPROFILE%\.gemini\settings.json
{
"mcpServers": {
"argus": {
"command": "uvx",
"args": [
"argus-search"
],
"env": {
"ARGUS_WOLFRAM_API_KEY": "<ARGUS_WOLFRAM_API_KEY>",
"ARGUS_BRAVE_API_KEY": "<ARGUS_BRAVE_API_KEY>",
"ARGUS_TAVILY_API_KEY": "<ARGUS_TAVILY_API_KEY>",
"ARGUS_EXA_API_KEY": "<ARGUS_EXA_API_KEY>",
"ARGUS_SERPER_API_KEY": "<ARGUS_SERPER_API_KEY>",
"ARGUS_LINKUP_API_KEY": "<ARGUS_LINKUP_API_KEY>",
"ARGUS_SEARXNG_BASE_URL": "<ARGUS_SEARXNG_BASE_URL>",
"ARGUS_DATA_ROOT": "<ARGUS_DATA_ROOT>"
}
}
}
}
Gemini expands $VAR and ${VAR} inside env values, so a secret can live in your shell rather than this file. Gemini CLI docs