This release is a pre-release and may not be stable for production use.
Your AI Assistant's Gateway to Google Workspace!
An MCP server that gives AI clients reliable, direct access to Google Workspace — Sheets, Drive, Docs (HTML or Markdown content), and Calendar. 101 tools across four domains.
As of mid-2026, Google's own Workspace MCP servers (Developer Preview) cover Gmail, Drive, Calendar, People, and Chat — Sheets and Docs still have no official server at all, and Drive/Calendar coverage there is a fraction of what's here. Stable releases ship to PyPI behind a QA regression gate, with a raw batch_update passthrough as an escape hatch for anything a named tool doesn't cover yet. See Why it exists for the full, sourced comparison against both the official servers and community alternatives.
Install (stable):
uvx mcp-gee-sweet
Install (bleeding edge — every code change on develop):
uvx --prerelease=allow mcp-gee-sweet
Quick start
Option A: uv — local use and development
If you cloned the repo or just want to use the server from your machine, uv is all you need. No Docker required.
git clone https://github.com/khuisman/mcp-gee-sweet.git
cd mcp-gee-sweet
uv sync
Then point your MCP client at it using stdio transport (see MCP client config below). The client spawns the server as a subprocess on demand — each session gets its own isolated process, so restarting the server for a code change or config update doesn't affect other open sessions.
Option B: Docker — persistent shared server (SSE)
Use Docker when you want a single long-running server that multiple clients connect to over SSE — for example, Claude Desktop talking to the same instance as Claude Code.
git clone https://github.com/khuisman/mcp-gee-sweet.git
cd mcp-gee-sweet
make build # build the container image
make start # start the server (SSE on port 47000)
make logs # tail logs
Point your MCP client at http://localhost:47000/sse.
Note: when using SSE, all clients share one server process. After a code change or restart (
make restart), you must also restart each MCP client to reconnect.
Configuration
The server tries auth methods in a waterfall by default, OAuth first — it authenticates as you and has full personal Drive access, which is what local/dev use (Option A above) needs. For OAuth, download an OAuth Client ID JSON from GCP Console and point the server at it:
export CREDENTIALS_PATH="/path/to/credentials.json"
Service accounts (recommended for headless server deployments — see Option B above), base64 credential injection, and Application Default Credentials are also supported. See Authentication for all options.
MCP client config
Claude Desktop — stdio (cloned repo):
{
"mcpServers": {
"mcp-gee-sweet": {
"command": "uv",
"args": ["run", "--directory", "/path/to/mcp-gee-sweet", "mcp-gee-sweet"],
"env": {
"CREDENTIALS_PATH": "/path/to/credentials.json"
}
}
}
}
Claude Desktop — SSE (Docker):
{
"mcpServers": {
"mcp-gee-sweet": {
"transport": "sse",
"url": "http://localhost:47000/sse"
}
}
}
See Client Setup for more options including tool filtering.
Docs
- Tools — full tool reference (101 tools)
- Authentication — all four auth methods
- Configuration — env vars, caching, tool filtering
- Client Setup — MCP client config examples
- Design Principles — tool inclusion policy, composite tool decisions
- Roadmap — planned features and known gaps
Contributing
See CONTRIBUTING.md for setup, QA workflows, and PR guidelines. A signed-off docs/qa/runs/vX.Y.Z.md record is required before any stable PyPI release — see docs/qa/README.md for the QA workflow.
License
MIT — see LICENSE.
Credits
- xing5/mcp-google-sheets — upstream this project was forked from
- FastMCP
- freema/mcp-gsheets and piotr-agier/google-drive-mcp — roadmap inspiration
1 maintainer
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