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mcp/harbor
Gemini CLI

FAQai for Gemini CLI

app.faqai/mcp-server

Turn any document into a production-ready RAG dataset from Claude, Cursor, or any MCP host.

client:Gemini CLI transport:stdio runtime:npm

Install FAQai 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": {
    "mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@faqai/mcp-server"
      ],
      "env": {
        "FAQAI_API_KEY": "<FAQAI_API_KEY>",
        "FAQAI_BASE_URL": "<FAQAI_BASE_URL>"
      }
    }
  }
}

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

FAQai in other clients

FAQai MCP server