Lazy Toggl MCP
Simple unofficial MCP server to track time via Toggl API
Lazy Toggl MCP Server
A Model Context Protocol (MCP) server that provides tools for interacting with Toggl time tracking.
Features
- Start/stop time tracking
- Get current entry
- List workspaces
API
Tools
-
start_tracking
- Start tracking time for a new task
- Inputs:
title(string): Title/description of the task to trackworkspace_id(integer): Workspace ID (optional, uses default if not provided)project_id(integer): Project ID (optional)tags(string[]): List of tags (optional)
-
stop_tracking
- Stop the currently running time entry
- No input required
- Returns confirmation of stopped time entry
-
list_workspaces
- List all available workspaces
- No input required
- Returns list of workspaces with their IDs and names
-
show_current_time_entry
- Show the currently running time entry, if any
- No input required
- Returns:
- If tracking: Task description, entry ID, workspace, start time, running duration, tags, and project (if any)
- If not tracking: A message indicating no time entry is currently running
Integration with Toggl Track API
This server uses the Toggl Track API v9. The following endpoints are utilized:
GET /me- Get user informationGET /workspaces- List workspacesGET /me/time_entries/current- Get current running time entryPOST /workspaces/{workspace_id}/time_entries- Start time trackingPATCH /workspaces/{workspace_id}/time_entries/{time_entry_id}/stop- Stop time tracking
Installation
- Clone/create this project
- Install dependencies with
uv:cd lazy-toggl-mcp uv sync
Configuration
Get Your Toggl API Token
- Go to Toggl Track
- Sign in to your account
- Click on your profile picture/avatar in the top right corner
- Go to "Profile" or "Settings"
- Find your "API Token" - copy this long string of characters
Configure MCP Server
Add the following configuration to your MCP settings file:
{
"mcpServers": {
"lazy-toggl-mcp": {
"autoApprove": [],
"disabled": false,
"timeout": 60,
"type": "stdio",
"transportType": "stdio",
"command": "uv",
"args": [
"run",
"--directory",
"/path/to/lazy-toggl-mcp",
"python",
"server.py"
],
"env": {
"TOGGL_API_TOKEN": "your-actual-api-token-here"
}
}
}
}
Important: Replace /path/to/lazy-toggl-mcp with the actual path to this project and your-actual-api-token-here with your real Toggl API token.
Project Structure
lazy-toggl-mcp/
├── src/
│ └── toggl_server/
│ ├── __init__.py # Package initialization
│ ├── main.py # MCP server implementation (new structure)
│ ├── models.py # Data models and type definitions
│ ├── toggl_api.py # Toggl API client
│ └── utils.py # Utility functions
├── main.py # CLI interface for testing
├── server.py # Main MCP server entry point
├── pyproject.toml # Project configuration and dependencies
├── README.md # This file
├── uv.lock # Dependency lock file
├── .gitignore # Git ignore patterns
└── .python-version # Python version specification
License
MIT License - feel free to modify and use as needed.
Verwandte Server
Kone.vc
SponsorMonetize your AI agent with contextual product recommendations
ContentFlow
Business Intelligence from podcasts and videos
Outlook Meetings Scheduler
Schedule meetings in Microsoft Outlook using the Microsoft Graph API.
MoLing MCP Server
A local office automation assistant for file system operations, system command execution, and browser control.
OneNote
Interact with Microsoft OneNote using AI language models like Claude and other LLMs.
Spendlog
Track expenses, income, budgets, and invoices directly in Claude with PDF export and tax reports.
WeRead
Access your WeChat Reading (微信读书) bookshelf, notes, highlights, and reviews.
Google Calendar
An MCP server for Google Calendar, enabling LLMs to read, create, and manage calendar events.
Saga
A Jira-like project tracker for AI agents — epics, tasks, dependencies, and dashboards, all in local SQLite with zero setup.
Sanka
Sanka is the extension company. Plug AI into your sales lifecycle — deals, quotes, billing, and 100+ CRM/commerce integrations — directly from Claude or Codex.
clickup-mcp
Lightweight ClickUp MCP server with 35 tools. Token-optimized responses reduce API verbosity by 95%+ (3500 chars → 160). Tasks, comments, checklists, tags, dependencies.