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Toggl Track MCP server for AI agents and assistants

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Toggl Track MCP or direct API to create time entries, start timers, manage projects, and pull workspace reports through natural language.

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Toggl Track logoToggl Track
Api Key

Toggl Track is a time tracking platform for recording work, organizing projects, and managing workspaces. It helps teams understand where time goes with clear reports, billable hours, and lightweight workflows.

21 Tools

Try Toggl Track now

Type what you want done — sign in and watch it run live in the Tool Router playground.

TOOL ROUTER PLAYGROUND
Toggl Track
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TOOLS

Supported Tools

Every Toggl Track action and event your agent gets out of the box.

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.

Create Client

Create a client in a workspace for grouping projects.

Create Project

Create a project in a workspace for organizing time entries and tasks.

Create Task

Create a task under an active project for more specific time-entry assignment.

Create Time Entry

Create a running or completed time entry in a workspace; omit duration and stop to start a running timer.

Delete Client

Permanently delete one client from a Toggl Track workspace.

Delete Project

Delete one project while preserving its time entries by unassigning them from the project.

Delete Task

Permanently delete one task from its parent project.

Delete Time Entry

Permanently delete one time entry from a workspace.

Get Current Time Entry

Return the currently running time entry for the connected user, or indicate that no timer is running.

Get Current User

Return the connected Toggl Track user's identity and defaults, including the default workspace ID, without exposing credentials.

Get Time Entry

Get one time entry by ID, with optional related-entity and sharing metadata.

List Time Entries

List the connected user's time entries in an explicit date range, optionally including related project, task, user, and sharing metadata.

List Workspace Resources

Find projects, clients, tags, or tasks in a workspace and return their IDs for time-entry and resource-management tools.

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.

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.

Stop Time Entry

Stop a currently running time entry and return its finalized timing data.

Update Client

Update a client's name, notes, or external reference.

Update Project

Update a project's name, client, active state, privacy, color, or date range.

Update Task

Update a task's name, completion state, estimate, assignee, or external reference.

Update Time Entry

Update the timing, description, assignment, billable state, or tags of an existing time entry.

SETUP GUIDE

Connect Toggl Track MCP Tool with your Agent

1

Install Composio

typescript
npm install @composio/core ai @ai-sdk/mcp @ai-sdk/openai
Install the Composio SDK and your agent framework
2

Create a session with MCP enabled

typescript
import { Composio } from "@composio/core";

const composio = new Composio();
const { mcp } = await composio.create("your-user-id", {
  toolkits: ["toggl_track"],
  mcp: true,
});
Create a session scoped to Toggl Track and read its MCP URL and headers
3

Connect your agent to the MCP server

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { openai } from "@ai-sdk/openai";
import { generateText, stepCountIs } from "ai";

const client = await createMCPClient({
  transport: { type: "http", url: mcp.url, headers: mcp.headers },
});

const { text } = await generateText({
  model: openai("gpt-5.6-sol"),
  tools: await client.tools(),
  prompt: "Create a Toggl Track time entry for 2 hours of backend API work in my Engineering project",
  stopWhen: stepCountIs(10),
});

console.log(text);
await client.close();
Pass the session's MCP URL and headers to your agent and run a Toggl Track request
SETUP GUIDE

Connect Toggl Track API Tool with your Agent

1

Install Composio

typescript
npm install @composio/core @composio/openai openai
Install the Composio SDK, the OpenAI provider, and the OpenAI SDK
2

Create a Composio session

typescript
import OpenAI from "openai";
import { Composio } from "@composio/core";
import { OpenAIResponsesProvider } from "@composio/openai";

const composio = new Composio({ provider: new OpenAIResponsesProvider() });
const client = new OpenAI();

const session = await composio.create("your-user-id", { toolkits: ["toggl_track"] });
const tools = await session.tools();
Initialize Composio with the OpenAI Responses provider and create a session scoped to Toggl Track
3

Run Toggl Track tools with your agent

typescript
let response = await client.responses.create({
  model: "gpt-5.6-sol",
  tools,
  input: [{ role: "user", content: "Create a Toggl Track time entry for 2 hours of backend API work in my Engineering project" }],
});

while (response.output.some((o) => o.type === "function_call")) {
  const outputs = await composio.provider.handleToolCalls(session, response.output);
  response = await client.responses.create({
    model: "gpt-5.6-sol",
    tools,
    previous_response_id: response.id,
    input: outputs,
  });
}

console.log(response.output_text);
Send a request, execute the Toggl Track tool calls through the session, and print the final answer

Why Use Composio?

AI Native Toggl Track Integration

  • Supports both Toggl Track MCP and direct API based integrations
  • Structured, LLM-friendly schemas for reliable time entry, project, workspace, report, and webhook actions
  • Rich coverage for reading, writing, and querying your Toggl Track data without building custom API wrappers

Managed Auth

  • Secure API key handling so you don't hard-code Toggl Track credentials in your agent code
  • Central place to manage, scope, and revoke Toggl Track access per user
  • Works cleanly across development, staging, and production environments

Agent Optimized Design

  • Tools are tuned for AI agents, so your assistant can understand Toggl Track actions like creating time entries or fetching reports
  • Comprehensive execution logs show what ran, when it ran, and on whose behalf
  • Less glue code, fewer brittle prompts, and a smoother path from prototype to production

Enterprise Grade Security

  • Fine-grained RBAC so you control which agents and users can access Toggl Track
  • Scoped, least privilege access to Toggl Track resources such as workspaces, projects, and reports
  • Full audit trail of agent actions to support review, billing checks, and compliance
FAQ

Frequently asked questions

Yes, Toggl Track requires you to configure your own API key. Once set up, Composio handles secure credential storage and API request handling for you. In code, use auth_configs.create() for the API key auth config, connected_accounts.link() to connect a user, and mcp.create() when you want to create a dedicated MCP server.

Yes! Composio's Tool Router enables agents to use multiple toolkits. Learn more.

Yes. Composio is SOC 2 Type II compliant and is built to keep your Toggl Track connection and credentials secure. OAuth tokens and API keys are encrypted, and sensitive customer data is protected at rest and in transit.

Composio also undergoes independent security testing and continuously monitors its systems for security threats. You can review the latest reports and policies in the Composio Trust Center.

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

Create the key in your Toggl Track account settings, then paste it once on Composio's connection page. Composio stores it encrypted and uses it only for the Toggl Track actions your agent runs. Nobody else in your workspace can read it, and you can revoke it inside Toggl Track at any time.

When you connect a Toggl Track account through Composio, every action runs under that account, so anything the agent creates, sends, or changes shows up in Toggl Track as done by you. Keep an approval step in your prompt for actions with side effects, such as sending or deleting, and have the agent draft first.

Whatever the credentials you connect allow inside Toggl Track. If Toggl Track lets you scope a key to specific permissions, create a scoped one so the agent can only do what you intend. You can revoke the key inside Toggl Track at any time.

Yes. Composio supports multiple connected accounts for the same app, and that works in Claude, ChatGPT, or any other assistant you connect through Composio. Give each Toggl Track connection a name such as work or personal, and the assistant uses the one you mention in the request. Each account keeps its own credentials and nothing is merged.

The connection stops working the moment Toggl Track rejects the old key. Create a new key in Toggl Track and reconnect the account from the Composio dashboard or by asking your agent to reconnect Toggl Track. Nothing else changes.

Composio's free Hobby plan includes 100,000 tool calls per month with no credit card, which covers most personal Toggl Track use. Paid plans add higher limits and team features. Your Toggl Track plan and its API limits still apply as usual.

Built-in connectors usually give one AI access to a limited set of apps. Many people use Composio because it lets their AI connect to more apps than it normally supports, or connect to multiple accounts for the same app (e.g. connect Claude to multiple Toggl Track accounts).

With Composio, you connect Toggl Track once and then use it across different AI assistants without setting it up separately in each one. Connect your apps to Composio once, then connect Composio to whichever AI you use, whether that's Claude, ChatGPT, Hermes, or your own custom assistant.

Start with Toggl Track.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Toggl Track tool your agent needs.Free to start.

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