# How to connect Toggl Track to Grok Bot

```json
{
  "title": "How to connect Toggl Track to Grok Bot",
  "toolkit": "Toggl Track",
  "toolkit_slug": "toggl_track",
  "framework": "Grok Bot",
  "framework_slug": "grok-bot",
  "url": "https://composio.dev/toolkits/toggl_track/framework/grok-bot",
  "markdown_url": "https://composio.dev/toolkits/toggl_track/framework/grok-bot.md",
  "updated_at": "2026-11-06T06:00:58.118Z"
}
```

## Introduction

Grok is xAI's assistant, and its bot builder lets you create a personal agent that holds context, runs skills, and connects to the apps you already use through plugins.
This guide explains how to connect Toggl Track to a Grok bot using Composio Connect, which handles OAuth, token refresh, and reliability so you do not have to. You add Composio as a plugin, authenticate once, then ask your bot to work with Toggl Track in plain language.

## TL;DR

Composio exposes 1,500+ apps to your Grok bot through a single connection, so you get:
- Connect to 1,500+ apps with on-demand tool loading, so you do not fill your context window with unnecessary tool definitions.
- Use programmatic tool calling through a remote workbench, letting the model write its own code to handle complex tool chaining. This reduces back-and-forth for frequent tool calls.
- Handle large tool responses outside the model context to keep conversations lean.

## Connect Toggl Track to Grok Bot

### Connecting Toggl Track to Grok Bot
Once Grok Bot is set up, you connect Toggl Track entirely from its interface, and the whole flow takes under a minute.
### Set up Grok Bot
Get access. Grok Bot is included with Cursor Ultra, Cursor Premium Teams, and SuperGrok Heavy. Get the desktop app for macOS or Windows from [x.ai/bot](https://x.ai/bot) and sign in. An iPhone companion app is also available, and your bots sync across devices.
Create a bot. Pick a suggested role or define your own, then give it a short name, one primary job, and a short description of how it should work. Focused bots work best, because a clear role gives the bot more useful context over time.
### Connect Toggl Track
### 1. Add the Composio plugin
Click the button. The Composio listing on x.ai opens and launches Grok Bot for you. If the app does not open on its own, click Add to Grok Bot.
[Add to Grok Bot](https://x.ai/bot/plugin/32661537)
Grok Bot opens the Composio plugin, showing its connector and skills. Click Add.
### 2. Authenticate
Go to the Installed section and click the Composio entry. You'll see its connector and skills listed.
Click Authenticate. You'll be taken to the Composio consent screen. Review the access it requests and click Authorize. Composio handles the OAuth handshake for you, so you never touch API keys or tokens.
### 3. Connect your Toggl Track account
Back in the chat, ask your bot to connect to Toggl Track or give it any Toggl Track task.
For example, ask it to:
- "Start a timer for client work"
- "Create yesterday's project time report"
- "List active Toggl Track workspaces"
It will prompt you to authenticate and authorize access.
That's it. Composio's tools are now available in your Grok bot, and your Toggl Track account is ready to use.

## What is Grok Bot?

Grok is xAI's assistant, available as a chat interface and a bot builder for creating personal agents that run skills and connect to external apps.
With Composio Connect, your Grok bot can securely access apps like Toggl Track through MCP without you sharing account credentials directly with the agent.

## What is the Toggl Track MCP server, and what's possible with it?

The Toggl Track MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Toggl Track account. It provides structured and secure access to your time entries, workspaces, projects, clients, tasks, and reports, so your agent can track work, manage timers, organize projects, update records, and produce time reports on your behalf.
- Time entry management: Have your agent create, review, update, or delete time entries, including their descriptions, timing, billable status, tags, and work assignments.
- Running timer control: Let the agent check your current timer, start a new running time entry, or stop work in progress.
- Workspace and project organization: Direct your agent to list workspaces and manage projects, clients, and tasks used to organize tracked work.
- Detailed time reporting: Instruct your agent to produce detailed time reports for a workspace and date range, grouped into useful report rows.
- Bulk record updates: Have your agent apply the same description or billable status to multiple time entries at once.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `TOGGL_TRACK_BULK_UPDATE_TIME_ENTRIES` | Bulk Update Time Entries | Apply the same description and/or billable state to 1 to 100 Toggl Track time entries in one provider-native request. Updates are non-atomic: Toggl Track performs no transaction or rollback, so some IDs can succeed while others fail; always inspect the returned per-ID success and failure lists. |
| `TOGGL_TRACK_CREATE_CLIENT` | Create Client | Create a client in a workspace for grouping projects. |
| `TOGGL_TRACK_CREATE_PROJECT` | Create Project | Create a project in a workspace for organizing time entries and tasks. |
| `TOGGL_TRACK_CREATE_TASK` | Create Task | Create a task under an active project for more specific time-entry assignment. |
| `TOGGL_TRACK_CREATE_TIME_ENTRY` | Create Time Entry | Create a running or completed time entry in a workspace; omit duration and stop to start a running timer. Supplying tag names may also create tags that do not yet exist. |
| `TOGGL_TRACK_DELETE_CLIENT` | Delete Client | Permanently delete one client from a Toggl Track workspace. |
| `TOGGL_TRACK_DELETE_PROJECT` | Delete Project | Delete one project while preserving its time entries by unassigning them from the project. |
| `TOGGL_TRACK_DELETE_TASK` | Delete Task | Permanently delete one task from its parent project. |
| `TOGGL_TRACK_DELETE_TIME_ENTRY` | Delete Time Entry | Permanently delete one time entry from a workspace. |
| `TOGGL_TRACK_GET_CURRENT_TIME_ENTRY` | Get Current Time Entry | Return the currently running time entry for the connected user, or indicate that no timer is running. |
| `TOGGL_TRACK_GET_CURRENT_USER` | Get Current User | Return the connected Toggl Track user's identity and defaults, including the default workspace ID, without exposing credentials. |
| `TOGGL_TRACK_GET_TIME_ENTRY` | Get Time Entry | Get one time entry by ID, with optional related-entity and sharing metadata. |
| `TOGGL_TRACK_LIST_TIME_ENTRIES` | List Time Entries | List the connected user's time entries in an explicit date range, optionally including related project, task, user, and sharing metadata. |
| `TOGGL_TRACK_LIST_WORKSPACE_RESOURCES` | List Workspace Resources | Find projects, clients, tags, or tasks in a workspace and return their IDs for time-entry and resource-management tools. |
| `TOGGL_TRACK_LIST_WORKSPACES` | List Workspaces | List workspaces accessible to the connected user and return the IDs needed by workspace-scoped tools, without exposing private tokens or calendar URLs. |
| `TOGGL_TRACK_RUN_DETAILED_TIME_REPORT` | Run Detailed Time Report | Return one page of detailed, grouped time-entry report rows for a workspace and date range, with an opaque cursor for the next page. |
| `TOGGL_TRACK_STOP_TIME_ENTRY` | Stop Time Entry | Stop a currently running time entry and return its finalized timing data. |
| `TOGGL_TRACK_UPDATE_CLIENT` | Update Client | Update a client's name, notes, or external reference. Toggl Track requires the client's name on every update, even when it is unchanged. |
| `TOGGL_TRACK_UPDATE_PROJECT` | Update Project | Update a project's name, client, active state, privacy, color, or date range. |
| `TOGGL_TRACK_UPDATE_TASK` | Update Task | Update a task's name, completion state, estimate, assignee, or external reference. |
| `TOGGL_TRACK_UPDATE_TIME_ENTRY` | Update Time Entry | Update the timing, description, assignment, billable state, or tags of an existing time entry. Provide at least one change; changing tags requires tag_action together with tags or tag_ids. Tag effects are verified against the returned time entry so an ignored update is reported as a failure. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

Once connected, your Grok bot can access the Toggl Track MCP server through Composio to run the actions you authorize, using plain language in the chat.

## Complete Code

None listed.

## Conclusion

### Way Forward
Now that Toggl Track is connected, extend your setup by connecting the other apps you already use every day, so your Grok bot can run true cross-app workflows end to end.
- Connect Calendar to turn threads into scheduled meetings automatically.
- Connect Slack or Teams to post summaries, approvals, and alerts where your team works.
- Connect Notion, Linear, Jira, or Asana to convert requests into tickets, tasks, and docs.
- Connect Drive, Dropbox, or OneDrive to fetch, file, and share attachments without manual steps.
Start with one workflow you do repeatedly, then keep adding apps as you find new handoffs. With everything behind a single connection, your bot can coordinate multiple tools safely and reliably in one conversation.

## How to build Toggl Track MCP Agent with another framework

None listed.

## Related Toolkits

- [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly.
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## Frequently Asked Questions

### What are the differences in Tool Router MCP and Toggl Track MCP?

With a standalone Toggl Track MCP server, the agents and LLMs can only access a fixed set of Toggl Track tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Toggl Track and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with Grok Bot?

Yes, you can. Grok Bot fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Toggl Track tools.

### Can I manage the permissions and scopes for Toggl Track while using Tool Router?

Yes, absolutely. You can configure which Toggl Track scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Toggl Track data and credentials are handled as safely as possible.

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