honest-drive-mcp

honest-drive-mcp

A local Google Drive MCP server with full permission management (share, list, remove permissions), enabling AI agents to manage file sharing and access beyond the official connector.

Category
Visit Server

README

honest-drive-mcp

Local Google Drive MCP server with full permission management — the piece missing from the official connector.

Companion project to honest-gmail-mcp and honest-calendar-mcp.

Why

The official Anthropic Drive connector is competent for read + create, but has one big gap: it cannot set or modify sharing permissions. If you build a workflow like "create a folder for my accountant and share it with her", you hit a dead end — you have to jump into the Drive UI to do the sharing part manually.

This MCP fixes that. Same trust model as the rest of the honest-* family: data flows only between your machine and Google.

Features

Eight tools exposed over MCP:

  • list_files — search with Drive query syntax
  • get_file — full metadata
  • read_file — download content (text/JSON returned as UTF-8; binaries as base64; Google-native docs auto-exported to plain text / CSV)
  • create_file — upload from text or base64
  • create_folder — new folder, optionally inside a parent
  • share_file — grant access to an email (reader/commenter/writer/owner), notification optional, custom message supported ← the piece missing elsewhere
  • list_permissions — see who has access and with what role
  • remove_permission — revoke a specific permission by id

Requirements

  • Python 3.10+
  • A Google account
  • One-time Google Cloud OAuth setup (~10 min; can reuse the client from honest-gmail-mcp — just enable the Drive API on the same project)

Setup

git clone https://github.com/bartosz-kuc/honest-drive-mcp.git
cd honest-drive-mcp
python3 -m venv venv
./venv/bin/pip install -r requirements.txt

Google Cloud steps (same as honest-gmail-mcp):

  1. https://console.cloud.google.com/ → create or select project
  2. APIs & Services → Library → enable Google Drive API
  3. APIs & Services → Credentials → OAuth client ID → Desktop app → download JSON → save as credentials.json here

First run:

./venv/bin/python server.py

Browser opens → Allow → token saved to token.json. Ctrl+C.

Register with Claude Code:

claude mcp add drive-personal /absolute/path/to/venv/bin/python /absolute/path/to/server.py

Claude Desktop claude_desktop_config.json:

{
  "mcpServers": {
    "drive-personal": {
      "command": "/absolute/path/to/venv/bin/python",
      "args": ["/absolute/path/to/server.py"]
    }
  }
}

Example usage

"Create a folder called 'Faktury dla księgowej' in My Drive and share it with elwira@example.pl as writer."

AI calls create_folder → gets folder_id → calls share_file(file_id, "elwira@example.pl", role="writer"). Done in one shot. No context-switch to the Drive UI.

"Who has access to file X?"

AI calls list_permissions(file_id) → returns all permissions with ids you can pass to remove_permission later.

Data flow

Your AI client
     ↕  MCP stdio
This server (Python, on your machine)
     ↕  HTTPS
Google Drive API

No cloud middle. Tokens stay on disk, .gitignored.

Security notes

  • OAuth scope requested: drive (full read/write on all Drive files this account can access). Google does not offer a scope that includes permission management without also including read/write to files, which is why the scope is broad.
  • send_notification defaults to false — AI will not spam recipients unless explicitly asked.
  • role: "owner" transfers ownership — an irreversible action. The tool passes transferOwnership: true automatically when this role is requested; consider using writer unless you really mean to hand over the file.
  • Revoke access anytime at https://myaccount.google.com/permissions.
  • credentials.json and token.json are .gitignored.

Author

Bartosz Kuć — Warsaw-based developer, JDG owner running skanfirmy.pl.

  • Site: https://skanfirmy.pl

  • GitHub: https://github.com/bartosz-kuc

  • Email: firma@bartosza.pl

Consulting

Available for consulting on Polish tax and business integrations (KSeF, GUS/NFZ/GIOŚ APIs, mBank data), MCP server design, and AI-assisted tooling for JDGs and small teams. See skanfirmy.pl/uslugi for productized packages (audit 3k PLN, setup 8-15k PLN, retainer 2-4k PLN/mo), or reach out via email.

License

MIT — see LICENSE.

Related

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured