orca-drive-sa-mcp

orca-drive-sa-mcp

An MCP server that exposes a Google Drive folder over Streamable HTTP using a Google service account, letting users list, search, fetch metadata for, and read text files through natural language.

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ORCA Drive SA MCP

A Model Context Protocol (MCP) server that exposes a Google Drive folder over Streamable HTTP, deployed as a Vercel serverless function.

It reads Google Drive through a Google service account (Drive API v3, read-only scope), so no Apps Script web app is needed.

Tools

Tool Description
list_files List files in a folder (defaults to DRIVE_FOLDER_ID)
search_files Search files by name substring
get_file Fetch metadata for a single file by ID
read_file Read text content of a file (JSON, CSV, TXT, etc.)

1. Create a Google service account

  1. Go to https://console.cloud.google.com and create (or select) a project.
  2. Enable the Google Drive API (APIs & Services → Library → "Google Drive API").
  3. Create a service account:
    • APIs & Services → Credentials → Create credentials → Service account.
    • Give it a name and click Create and continue, then Done.
  4. Generate a key:
    • Open the service account → Keys → Add key → Create new key → JSON.
    • Download the JSON key file.
  5. Copy the service account email (e.g. orca-drive@my-project.iam.gserviceaccount.com).
  6. Share the target Drive folder with that email (right-click the folder in Drive → Share → paste the email → Viewer).

Only files/folders shared with the service account are accessible.

2. Configure environment variables

Copy .env.example to .env (local dev) and set the same values in Vercel (Project > Settings > Environment Variables):

Variable Description
GOOGLE_SERVICE_ACCOUNT_JSON The full JSON key contents (single line)
GOOGLE_SERVICE_ACCOUNT_JSON_ENCODED Set to base64 if the JSON value is base64-encoded
DRIVE_FOLDER_ID Default folder ID to list

3. Run locally

npm install
vercel dev

Test with the MCP Inspector (npx @modelcontextprotocol/inspector) using transport Streamable HTTP and URL http://localhost:3000/.

4. Deploy to Vercel

vercel --prod

Your endpoint will be https://<project>.vercel.app/.

5. Connect a client

Claude Desktop (claude_desktop_config.json):

{
  "mcpServers": {
    "orca-drive-sa": {
      "type": "http",
      "url": "https://<project>.vercel.app/"
    }
  }
}

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