Shelfmark for Gemini CLI

io.github.dankaro-projects/shelfmark

Local, privacy-first document catalogue for AI agents: metadata-only discovery, no cloud, no RAG.

client:Gemini CLI transport:stdio runtime:pypi

Install Shelfmark in Gemini CLI

~/.gemini/settings.json · windows: %USERPROFILE%\.gemini\settings.json

{
  "mcpServers": {
    "shelfmark": {
      "command": "uvx",
      "args": [
        "shelfmark"
      ]
    }
  }
}

Gemini expands $VAR and ${VAR} inside env values, so a secret can live in your shell rather than this file. Gemini CLI docs