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mcp/harbor
Gemini CLI

Gemdex for Gemini CLI

io.github.nikships/gemdex

Persistent memory layer for AI coding agents: save, recall, update via Gemini plus LanceDB

client:Gemini CLI transport:stdio runtime:npm

Install Gemdex in Gemini CLI

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

Held in this page only — never stored, logged, or sent anywhere but back to your screen. 

{
  "mcpServers": {
    "gemdex": {
      "command": "npx",
      "args": [
        "-y",
        "gemdex-mcp"
      ],
      "env": {
        "GEMINI_API_KEY": "<GEMINI_API_KEY>",
        "GEMDEX_MODE": "<GEMDEX_MODE>",
        "LANCEDB_PATH": "<LANCEDB_PATH>",
        "EMBEDDING_MODEL": "<EMBEDDING_MODEL>",
        "GEMDEX_REMOTE_URL": "<GEMDEX_REMOTE_URL>",
        "GEMDEX_REMOTE_TOKEN": "<GEMDEX_REMOTE_TOKEN>",
        "GEMDEX_REMOTE_NAME": "<GEMDEX_REMOTE_NAME>",
        "GEMDEX_TRUST_RANKING": "<GEMDEX_TRUST_RANKING>"
      }
    }
  }
}

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

Gemdex in other clients

Gemdex MCP server