mcp-gee-sweet

mcp-gee-sweet

mcp-gee-sweet gives AI clients deep, direct access to Google Sheets, Docs, Drive, Calendar, and Gmail. It reads raw formulas like =VLOOKUP(), builds Docs structurally (colspan/rowspan tables, themes, named styles, an HTML/Markdown→AST→Docs pipeline), and covers Drive files, sharing, and sync alongside Calendar events and Gmail messages, threads, and drafts.

A few highlights:

• Caching — repeated reads return in ~2ms from a local cache instead of a round-trip API call every time.

• Formula access — reads raw =VLOOKUP(), =SUM(), and =IF() expressions, not just the values they produce.

• Local sync — two-way sync between a local folder and Google Drive.

Install (stable):

uvx mcp-gee-sweet

Install (bleeding edge — every code change on develop):

uvx --prerelease=allow mcp-gee-sweet

Full documentation →

What's covered

Related MCP server: Google Workspace MCP Server

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
echo "MCP_SERVER_TOKEN=$(python3 -c 'import secrets; print(secrets.token_urlsafe(32))')" >> .env
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, sending the token from .env as an Authorization: Bearer <token> header (see the SSE config below). The server rejects any request without it. Without Docker, --transport sse and --transport streamable-http listen on 127.0.0.1 only, and need MCP_SERVER_TOKEN to serve on any other address; see HTTP transport authentication.

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"
export TOKEN_PATH="/path/to/token.json"
mcp-gee-sweet auth   # one-time browser login; `uvx mcp-gee-sweet auth` for a PyPI install

Pass the same CREDENTIALS_PATH and TOKEN_PATH in your MCP client's env. A stdio server with no token doesn't open a browser itself. Instead its first tool call offers you the Google consent link (or you run mcp-gee-sweet auth), and you retry the call. A token revoked mid-session is handled the same way, with no restart.

Service accounts (recommended for headless server deployments, see Option B above), base64 credential injection, and Application Default Credentials are also supported. Gmail tools need OAuth. 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",
        "TOKEN_PATH": "/path/to/token.json"
      }
    }
  }
}

Claude Desktop — SSE (Docker):

{
  "mcpServers": {
    "mcp-gee-sweet": {
      "transport": "sse",
      "url": "http://localhost:47000/sse",
      "headers": {
        "Authorization": "Bearer <token>"
      }
    }
  }
}

See Client Setup for more options including tool filtering.

Docs

• Tools — full tool reference, grouped by domain

• 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