Google Tasks MCP Server
A comprehensive MCP server that enables LLMs to manage Google Tasks and task lists through workflow-oriented tools for creation, updating, searching, and organizing tasks.
README
Google Tasks MCP Server
A comprehensive Model Context Protocol (MCP) server for Google Tasks that enables LLMs to manage tasks and task lists through well-designed, workflow-oriented tools.
Features
This MCP server provides intelligent, workflow-oriented tools for Google Tasks management:
Task List Management
- Create, update, delete, and list task lists
- Organize tasks into projects and categories
Task Operations
- Create tasks with titles, notes, due dates, and hierarchical structure (subtasks)
- List tasks with powerful filtering (date ranges, status, pagination)
- Update tasks - modify title, notes, status, due dates
- Delete tasks permanently
- Move tasks between positions and parents
- Clear completed tasks in bulk
Workflow Tools
- Quick Add - Natural language task creation
- Bulk Create - Create multiple tasks at once
- Search Tasks - Find tasks across all lists
- Task Summary - Get organized views by time range (today, tomorrow, week, overdue)
Prerequisites
- Python 3.8+ installed on your system
- Google Cloud Project with Tasks API enabled
- OAuth 2.0 Credentials for desktop application
Setup Instructions
Step 1: Google Cloud Setup
-
Go to Google Cloud Console
-
Create a new project or select an existing one
-
Enable the Google Tasks API:
- Go to "APIs & Services" > "Library"
- Search for "Tasks API"
- Click "Enable"
-
Create OAuth 2.0 Credentials:
- Go to "APIs & Services" > "Credentials"
- Click "Create Credentials" > "OAuth client ID"
- Choose "Desktop app" as the application type
- Give it a name (e.g., "Google Tasks MCP")
- Download the credentials JSON file
-
Create the configuration directory:
mkdir -p ~/.google_tasks_mcp -
Save the downloaded credentials file as:
~/.google_tasks_mcp/credentials.json
Step 2: Install Dependencies
pip install -r requirements.txt
Step 3: First Run & Authentication
Run the server for the first time to authenticate:
python google_tasks_mcp.py
This will:
- Open a browser window for Google authentication
- Ask you to authorize the application
- Save the authentication token for future use
Configuration
For Claude Desktop App
Add this to your Claude desktop configuration file:
MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"google-tasks": {
"command": "python",
"args": ["/path/to/google_tasks_mcp.py"],
"env": {}
}
}
}
Replace /path/to/google_tasks_mcp.py with the actual path to the server file.
For Other MCP Clients
The server runs on stdio transport by default:
python google_tasks_mcp.py
Running as a Remote (HTTP/SSE) MCP Server
This server can also run remotely over HTTP/SSE. Control it with environment variables:
MCP_MODE: set toremote(enables HTTP/SSE). Default:stdio.MCP_HOST: bind host (e.g.,0.0.0.0). Default:0.0.0.0.MCP_PORT: port number. Default:8000.MCP_PATH: SSE endpoint path. Default:/sse.
Example:
source /Users/omshejul/python-env/venv/bin/python
export MCP_MODE=remote
export MCP_HOST=0.0.0.0
export MCP_PORT=8000
export MCP_PATH=/sse
python google_tasks_mcp.py
Claude Remote Config (SSE)
Claude Desktop typically expects stdio servers. Use the mcp-remote adapter to connect via SSE. Add an entry like this to the mcpServers section of your Claude config:
{
"mcpServers": {
"google-tasks": {
"command": "npx",
"args": ["-y", "mcp-remote@latest", "http://YOUR_HOST:8000/sse"]
}
}
}
Replace YOUR_HOST and port as needed. Ensure the server is reachable from the client.
Optional: Require a Bearer Token
Set an auth token for the remote server so clients must present Authorization: Bearer <token>:
export MCP_AUTH_TOKEN=REPLACE_ME_SECRET
export MCP_MODE=remote
export MCP_HOST=0.0.0.0
export MCP_PORT=8000
export MCP_PATH=/sse
/Users/omshejul/python-env/venv/bin/python google_tasks_mcp.py
For Claude with mcp-remote, pass the header and keep the secret in an env var:
{
"mcpServers": {
"google-tasks": {
"command": "npx",
"args": [
"-y",
"mcp-remote@latest",
"http://YOUR_HOST:8000/sse",
"--header",
"Authorization:Bearer ${GOOGLE_TASKS_MCP_TOKEN}"
],
"env": {
"GOOGLE_TASKS_MCP_TOKEN": "REPLACE_ME_SECRET"
}
}
}
}
Available Tools
Task List Management
create_task_list
Create a new task list for organizing related tasks.
Input: title (string)
Returns: Created task list details
list_task_lists
List all task lists with pagination support.
Input:
- max_results (1-50, default: 20)
- page_token (optional)
- response_format (json/markdown/concise/detailed)
Returns: List of task lists
update_task_list
Rename an existing task list.
Input:
- tasklist_id (string)
- title (string)
Returns: Updated task list
delete_task_list
⚠️ Permanently delete a task list and all its tasks.
Input: tasklist_id (string)
Returns: Confirmation
Task Operations
create_task
Create a new task with optional details.
Input:
- title (string, required)
- notes (string, optional)
- due_date (ISO format YYYY-MM-DD, optional)
- tasklist_id (default: "@default")
- parent_task_id (optional, for subtasks)
Returns: Created task details
list_tasks
List tasks with comprehensive filtering options.
Input:
- tasklist_id (default: "@default")
- max_results (1-100, default: 30)
- show_completed (boolean, default: false)
- show_deleted (boolean, default: false)
- due_min/due_max (ISO dates for filtering)
- completed_min/completed_max (ISO dates)
- page_token (for pagination)
- response_format (json/markdown/concise/detailed)
Returns: Filtered task list
update_task
Modify task properties.
Input:
- task_id (string, required)
- tasklist_id (default: "@default")
- title (optional)
- notes (optional)
- status (needsAction/completed, optional)
- due_date (ISO format or "clear", optional)
Returns: Updated task
delete_task
⚠️ Permanently delete a task.
Input:
- task_id (string)
- tasklist_id (default: "@default")
Returns: Confirmation
move_task
Reorganize task position or hierarchy.
Input:
- task_id (string)
- tasklist_id (default: "@default")
- parent_task_id (optional)
- previous_task_id (optional)
Returns: Moved task details
clear_completed_tasks
⚠️ Remove all completed tasks from a list.
Input:
- tasklist_id (default: "@default")
Returns: Confirmation
Workflow Tools
quick_add_task
Create tasks using natural language.
Input:
- text (string, e.g., "Buy milk tomorrow")
- tasklist_id (default: "@default")
Returns: Created task
Examples:
- "Meeting with John tomorrow"
- "Urgent: Fix login bug"
- "Submit report next week"
bulk_create_tasks
Create multiple tasks at once.
Input:
- tasks (list of strings, 1-50 items)
- tasklist_id (default: "@default")
- due_date (optional, applies to all)
Returns: Creation summary
search_tasks
Find tasks across all task lists.
Input:
- query (string)
- include_completed (boolean, default: false)
- max_results (1-50, default: 20)
- response_format (json/markdown/concise/detailed)
Returns: Matching tasks from all lists
get_task_summary
Get organized task overview by time range.
Input:
- time_range (today/tomorrow/week/overdue/all)
- include_completed (boolean, default: false)
- response_format (concise/markdown/detailed)
Returns: Task summary for time period
Usage Examples
Daily Planning Workflow
- "Get my task summary for today"
- "Show me overdue tasks"
- "Create task 'Review quarterly report' due tomorrow"
- "Mark task [ID] as completed"
Project Setup Workflow
- "Create a task list called 'Website Redesign'"
- "Bulk create tasks: ['Design mockups', 'Get client feedback', 'Implement changes', 'Testing', 'Deploy']"
- "Set due date 2024-02-15 for all tasks"
Task Search Workflow
- "Search for tasks containing 'meeting'"
- "Find all tasks with 'urgent' in the title"
- "Show completed tasks from last week"
Response Formats
The server supports multiple response formats:
- JSON: Raw API response for processing
- Markdown: Formatted for readability
- Concise: Minimal information for quick viewing
- Detailed: Complete task information including IDs
Error Handling
The server provides clear, actionable error messages:
- Authentication errors with setup instructions
- Invalid input with specific guidance
- API errors with suggested fixes
- Rate limiting information when applicable
Security
- OAuth 2.0 tokens are stored locally in
~/.google_tasks_mcp/token.json - Credentials never leave your local machine
- Token refresh is handled automatically
- Scoped access only to Google Tasks
Troubleshooting
Authentication Issues
- Ensure credentials.json is in the correct location
- Delete token.json to re-authenticate
- Check that Tasks API is enabled in Google Cloud Console
Permission Errors
- Verify the Google account has access to Google Tasks
- Check OAuth consent screen is configured
- Ensure correct scopes are authorized
Connection Issues
- Verify internet connectivity
- Check firewall settings
- Ensure Google services are accessible
Development
Adding New Tools
- Define Pydantic model for input validation
- Implement tool function with @mcp.tool decorator
- Add comprehensive docstring and error handling
- Update README documentation
Testing
Run the server in development mode:
python google_tasks_mcp.py --debug
License
MIT License - See LICENSE file for details
Contributing
Contributions are welcome! Please:
- Fork the repository
- Create a feature branch
- Add tests for new functionality
- Submit a pull request
Support
For issues or questions:
- Check the troubleshooting section
- Review Google Tasks API documentation
- Open an issue with detailed error information
Acknowledgments
Built with:
- FastMCP - MCP framework
- Google Tasks API - Task management
- Model Context Protocol - LLM integration standard
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