mcp-google-workspace 0.7.1
MCP Server to connect to Google Workspace (Gmail & Calendar)
Requires Python: >=3.13

# mcp-google-workspace MCP server

MCP server to interact with Google Workspace products (Gmail and Calendar).

## Example prompts

Right now, this MCP server supports Gmail and Calendar integration with the following capabilities:

1. General
* Multiple google accounts

2. Gmail
* Get your Gmail user information
* Query emails with flexible search (e.g., unread, from specific senders, date ranges, with attachments)
* Retrieve complete email content by ID
* Create new draft emails with:
  + Recipients, subject, and body
  + Optional CC recipients
  + HTML formatting support
  + File attachments
* Send emails directly (not as drafts) with all the above features
* Delete draft emails
* Reply to existing emails with:
  + Support for HTML formatting and attachments
  + Option to send immediately or save as draft
* Retrieve multiple emails at once by their IDs
* Save multiple attachments from emails to your local system
* List all Gmail labels (system and custom)
* Create custom labels for email organization
* Modify email labels:
  + Add or remove labels from messages
  + Archive emails (remove INBOX label)
  + Mark emails as read/unread
  + Star or mark emails as important
  + Apply custom labels
* Move emails to trash (with automatic deletion after 30 days)
* Batch operations for labeling and moving multiple emails

3. Calendar
* Manage multiple calendars
* Get calendar events within specified time ranges
* Create calendar events with:
  + Title, start/end times
  + Optional location and description
  + Optional attendees
  + Custom timezone support
  + Notification preferences
  + Google Meet conference integration
* Delete calendar events

Example prompts you can try:

* Retrieve my latest unread messages
* Search my emails from the Scrum Master
* Retrieve all emails from accounting
* Take the email about ABC and summarize it
* Write a nice response to Alice's last email and upload a draft.
* Reply to Bob's email with a Thank you note. Store it as draft
* Create a draft email with the quarterly report attached
* Send an HTML-formatted newsletter to the team with images attached
* Draft a professional email with my resume and cover letter attached
* List all my Gmail labels
* Create a new label called "Important Projects"
* Archive all read emails from last month
* Mark all emails from John as important
* Move all promotional emails to trash
* Apply the "Work" label to all emails from my company domain

* What do I have on my agenda tomorrow?
* Check my private account's Family agenda for next week
* I need to plan an event with Tim for 2hrs next week. Suggest some time slots.

## Quickstart

### Install

### Installing via PyPI

To install mcp-google-workspace:

```bash
pip install mcp-google-workspace
```

Or with uv:

```bash
uv pip install mcp-google-workspace
```

#### Oauth 2

Google Workspace (G Suite) APIs require OAuth2 authorization. Follow these steps to set up authentication:

1. Create OAuth2 Credentials:
   - Go to the [Google Cloud Console](https://console.cloud.google.com/)
   - Create a new project or select an existing one
   - Enable the Gmail API and Google Calendar API for your project
   - Go to "Credentials" → "Create Credentials" → "OAuth client ID"
   - Select "Desktop app" or "Web application" as the application type
   - Configure the OAuth consent screen with required information
   - Add authorized redirect URIs (include `http://localhost:4100/code` for local development)

2. Required OAuth2 Scopes:
   

```json
   [
     "openid",
     "https://mail.google.com/",
     "https://www.googleapis.com/auth/calendar",
     "https://www.googleapis.com/auth/userinfo.email"
   ]
```

3. Then create a `.gauth.json` in your working directory with client

```json
{
    "web": {
        "client_id": "$your_client_id",
        "client_secret": "$your_client_secret",
        "redirect_uris": ["http://localhost:4100/code"],
        "auth_uri": "https://accounts.google.com/o/oauth2/auth",
        "token_uri": "https://oauth2.googleapis.com/token"
    }
}
```

4. Create a `.accounts.json` file with account information

```json
{
    "accounts": [
        {
            "email": "alice@bob.com",
            "account_type": "personal",
            "extra_info": "Additional info that you want to tell Claude: E.g. 'Contains Family Calendar'"
        }
    ]
}
```

You can specifiy multiple accounts. Make sure they have access in your Google Auth app. The `extra_info` field is especially interesting as you can add info here that you want to tell the AI about the account (e.g. whether it has a specific agenda)

Note: When you first execute one of the tools for a specific account, a browser will open, redirect you to Google and ask for your credentials, scope, etc. After a successful login, it stores the credentials in a local file called `.oauth.{email}.json` . Once you are authorized, the refresh token will be used.

#### Claude Code

To add this MCP server to Claude Code, run the following command:

```bash
claude mcp add mcp-google-workspace -- uvx mcp-google-workspace --gauth-file ~/.config/mcp-google/.gauth.json --accounts-file ~/.config/mcp-google/.accounts.json
```

After adding the server, restart Claude:

```bash
claude restart
```

You can customize the paths to your configuration files as needed. For local development, use:

```bash
claude mcp add mcp-google-workspace -- uv --directory /path/to/google-mcp run mcp-google-workspace --accounts-file /path/to/.accounts.json --credentials-dir /path/to/credentials
```

#### Claude Desktop

On MacOS: `~/Library/Application\ Support/Claude/claude_desktop_config.json`

On Windows: `%APPDATA%/Claude/claude_desktop_config.json`

<details>
  <summary>Development/Unpublished Servers Configuration</summary>
  

```json
{
  "mcpServers": {
    "mcp-google-workspace": {
      "command": "uv",
      "args": [
        "--directory",
        "<dir_to>/google-mcp",
        "run",
        "mcp-google-workspace"
      ]
    }
  }
}
```


Note: You can also use the `uv run mcp-google-workspace --accounts-file /path/to/custom/.accounts.json` to specify a different accounts file or `--credentials-dir /path/to/custom/credentials` to specify a different credentials directory.

```json
{
  "mcpServers": {
    "mcp-google-workspace": {
      "command": "uv",
      "args": [
        "--directory",
        "<dir_to>/google-mcp",
        "run",
        "mcp-google-workspace",
        "--accounts-file",
        "/path/to/custom/.accounts.json",
        "--credentials-dir",
        "/path/to/custom/credentials"
      ]
    }
  }
}
```

</details>

<details>
  <summary>Published Servers Configuration</summary>
  

```json
{
  "mcpServers": {
    "mcp-google-workspace": {
      "command": "uvx",
      "args": [
        "mcp-google-workspace",
        "--accounts-file",
        "/path/to/custom/.accounts.json",
        "--credentials-dir",
        "/path/to/custom/credentials"
      ]
    }
  }
}
```

</details>

### Configuration Options

The MCP server can be configured with several command-line options to specify custom paths for authentication and account information:

* `--gauth-file`: Specifies the path to the `.gauth.json` file containing OAuth2 client configuration. Default is `./.gauth.json`.
* `--accounts-file`: Specifies the path to the `.accounts.json` file containing information about the Google accounts. Default is `./.accounts.json`.
* `--credentials-dir`: Specifies the directory where OAuth credentials are stored after successful authentication. Default is the current working directory with a subdirectory for each account as `.oauth.{email}.json`.

These options allow for flexibility in managing different environments or multiple sets of credentials and accounts, especially useful in development and testing scenarios.

Example usage:

```bash
uv run mcp-google-workspace --gauth-file /path/to/custom/.gauth.json --accounts-file /path/to/custom/.accounts.json --credentials-dir /path/to/custom/credentials
```

This configuration is particularly useful when you have multiple instances of the server running with different configurations or when deploying to environments where the default paths are not suitable.

## Development

### Building and Publishing

To prepare the package for distribution:

1. Sync dependencies and update lockfile:

```bash
uv sync
```

2. Build package distributions:

```bash
uv build
```

This will create source and wheel distributions in the `dist/` directory.

3. Publish to PyPI:

```bash
uv publish
```

Note: You'll need to set PyPI credentials via environment variables or command flags:
* Token: `--token` or `UV_PUBLISH_TOKEN`
* Or username/password: `--username`/`UV_PUBLISH_USERNAME` and `--password`/`UV_PUBLISH_PASSWORD`

### Debugging

Since MCP servers run over stdio, debugging can be challenging. For the best debugging
experience, we strongly recommend using the [MCP Inspector](https://github.com/modelcontextprotocol/inspector).

You can launch the MCP Inspector via [ `npm` ](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) with this command:

```bash
npx @modelcontextprotocol/inspector uv --directory /path/to/google-mcp run mcp-google-workspace
```

Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.

You can also watch the server logs with this command:

```bash
tail -n 20 -f ~/Library/Logs/Claude/mcp-server-mcp-google-workspace.log
```