Krakenfy Drive MCP

Turn repeated Google Drive work into one instruction.

Krakenfy Drive MCP is an open-source server that lets AI agents provision workspaces, reuse company templates, inspect folder structures, update recurring reports, and deliver files through an OAuth project controlled by the user. It does not depend on native ChatGPT or Claude connectors.

Install it yourself · Deploy it with Krakenfy · Ask the community

Workflows it can automate

Client onboarding

Create the complete account workspace, build nested folders, and copy the correct Docs, Sheets, and Slides templates with consistent names in one tool call.

Recurring reporting

Find source material, read bounded spreadsheet ranges, append new records, update reporting cells, and place the finished deliverable in the correct folder.

Drive audits and delivery handoffs

Map a nested folder tree, identify misplaced work, organize approved files, and share the final folder with a person, group, or company domain after explicit confirmation.

Related MCP server: Google Drive MCP Server

Why companies use the managed service

The MCP is free and open source. You can install and adapt it yourself.

Krakenfy offers an optional implementation service for teams that want a production-ready workflow configured around their permissions, templates, operating process, and acceptance criteria. The service can include:

• Client-owned Google Cloud and OAuth configuration.

• Workflow mapping around one measurable recurring task.

• Safeguards and human approval points.

• Validation with real client files and exception handling.

• Private deployment, documentation, training, and operational handoff.

See the managed deployment options →

Capabilities

The server exposes 17 bounded MCP tools:

Example

{
  "name": "Acme",
  "parentId": "customer-root-folder-id",
  "folderPaths": [
    "01 Intake",
    "02 Work/Research",
    "02 Work/Reports",
    "03 Delivery"
  ],
  "templates": [
    {
      "fileId": "report-template-id",
      "name": "Acme — Weekly Report",
      "targetFolderPath": "02 Work/Reports"
    }
  ]
}

Pass this to drive_create_workspace and the agent creates the repeatable structure and template copies. It can then use sheets_append_rows, drive_get_folder_tree, and drive_share_file to continue the workflow.

Security model

• Credentials live outside the repository.

• Tokens are stored with 0600 permissions.

• Downloads never overwrite existing local files.

• Trash and sharing operations require confirm: true.

• Trash is recoverable through Google Drive.

• Text responses are limited to 2 MiB.

• Spreadsheet reads only accept bounded A1 rectangles, capped at 10,000 cells per range.

• Folder-tree reads have explicit depth and item limits.

• Rate-limited and transient Google API errors are retried with exponential backoff; non-idempotent writes are only retried when Google rejected the request before executing it.

• Every user supplies and controls their own Google Cloud project.

See SECURITY.md for vulnerability reporting and security details.

Installation

Follow the self-hosted installation guide to configure Google Cloud, authorize an account, and connect a compatible MCP client.

For private implementation, workflow adaptations, or a team rollout, see managed deployment.

Community and support

• Use Discussions for questions, workflow ideas, and examples.

• Use Issues for reproducible bugs and open-source feature requests.

• Use the Krakenfy assessment for private installation, workflow design, and commercial inquiries.

Development

npm ci
npm run check
npm test

License

MIT. See LICENSE.

This project is independent and is not endorsed by, sponsored by, or affiliated with Google. Google Drive is a trademark of Google LLC.