How to integrate Toggl MCP with OpenAI Agents SDK

This guide walks you through connecting Toggl to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Toggl agent that can start a new time entry for coding, list all clients in your workspace, get details of your current running timer through natural language commands. This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Toggl account through Composio's Toggl MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Toggl is a time tracking platform for managing work hours and productivity. It helps individuals and teams monitor tasks, analyze time usage, and optimize workflows.

56 Tools

Introduction

This guide walks you through connecting Toggl to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Toggl agent that can start a new time entry for coding, list all clients in your workspace, get details of your current running timer through natural language commands.

This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Toggl account through Composio's Toggl MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Toggl with

Claude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the necessary dependencies
  • Initialize Composio and create a Tool Router session for Toggl
  • Configure an AI agent that can use Toggl as a tool
  • Run a live chat session where you can ask the agent to perform Toggl operations

What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.

Key features include:

  • Hosted MCP Tools: Connect to external services through hosted MCP endpoints
  • SQLite Sessions: Persist conversation history across interactions
  • Simple API: Clean interface with Agent, Runner, and tool configuration
  • Streaming Support: Real-time response streaming for interactive applications

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

The Toggl 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 account. It provides structured and secure access to your time tracking data, so your agent can perform actions like logging time entries, managing clients and projects, handling tags, and retrieving detailed activity reports on your behalf.

  • Automated time entry management: Let your agent start, stop, and create new time entries with precise details, making it easy to track your work hours hands-free.
  • Client and project organization: Easily add new clients or projects, fetch client details, or remove outdated clients to keep your workspace up to date and well-structured.
  • Real-time activity tracking: Ask your agent to retrieve the currently running time entry or list recent activities, so you always know where your time is going.
  • Tag management and organization: Automatically create or delete tags to categorize your time entries, helping you analyze how your time is spent across different tasks.
  • Comprehensive workspace administration: Have your agent create organizations, set up workspaces, and ensure all your time tracking infrastructure is ready to go without manual setup.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Composio API Key and OpenAI API Key
  • Primary know-how of OpenAI Agents SDK
  • A live Toggl project
  • Some knowledge of Python or Typescript
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
3

Install dependencies

npm install @composio/openai-agents @openai/agents dotenv

Install the Composio SDK and the OpenAI Agents SDK.

4

Set up environment variables

bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com

Create a .env file and add your OpenAI and Composio API keys.

5

Import dependencies

import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
What's happening:
  • You're importing all necessary libraries.
  • The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Toggl.
6

Set up the Composio instance

dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
What's happening:
  • dotenv.config() loads your .env file so COMPOSIO_API_KEY and USER_ID are available as environment variables.
  • Creating a Composio instance using the API Key and OpenAIAgentsProvider class.
7

Create a Tool Router session

// Create Tool Router session for Toggl
const session = await composio.create(userId as string, {
  toolkits: ['toggl'],
});
const mcpUrl = session.mcp.url;

What is happening:

  • You give the Tool Router the user id and the toolkits you want available. Here, it is only toggl.
  • The router checks the user's Toggl connection and prepares the MCP endpoint.
  • The returned session.mcp.url is the MCP URL that your agent will use to access Toggl.
  • This approach keeps things lightweight and lets the agent request Toggl tools only when needed during the conversation.
8

Configure the agent

// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Toggl. Help users perform Toggl operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
What's happening:
  • We're creating an Agent instance with a name, model (gpt-5), and clear instructions about its purpose.
  • The agent's instructions tell it that it can access Toggl and help with queries, inserts, updates, authentication, and fetching database information.
  • The tools array includes a hostedMcpTool that connects to the MCP server URL we created earlier.
  • The headers object includes the Composio API key for secure authentication with the MCP server.
  • requireApproval: 'never' means the agent can execute Toggl operations without asking for permission each time, making interactions smoother.
9

Start chat loop and handle conversation

// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

// Simple CLI
const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: 'You: ',
});

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

  if (!text) {
    rl.prompt();
    return;
  }

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
What's happening:
  • The program prints a session URL that you visit to authorize Toggl.
  • After authorization, the chat begins.
  • Each message you type is processed by the agent using run().
  • The responses are printed to the console.
  • Typing exit, quit, or q cleanly ends the chat.

Complete Code

Here's the complete code to get you started with Toggl and OpenAI Agents SDK:

import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['toggl'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Toggl. Help users perform Toggl operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

  // Simple CLI
  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: ',
  });

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

    if (!text) {
      rl.prompt();
      return;
    }

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

main().catch((err) => {
  console.error('Fatal error:', err);
  process.exit(1);
});

Conclusion

This was a starter code for integrating Toggl MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Toggl.

Key features:

  • Hosted MCP tool integration through Composio's Tool Router
  • SQLite session persistence for conversation history
  • Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.
TOOLS

Supported Tools

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

Create Client

Tool to create a new client in a workspace.

Create Group

Tool to create a new group in a Toggl organization.

Create Invitation

Tool to send invitations to join a Toggl organization.

Create Organization

Tool to create a new organization with a default workspace in Toggl Track.

Create Project

Creates a new project in a Toggl workspace.

Create Tag

Tool to create a new tag in a workspace.

Create Time Entry

Tool to create a new time entry in the specified workspace.

Add User to Workspace Project

Tool to add a user to workspace project users.

Delete Toggl Client

Tool to delete a client in Toggl.

Delete Group

Tool to delete a group from a Toggl organization.

Delete Project Group

Tool to delete a project group from a Toggl workspace.

Delete Subscription

Tool to delete a webhook subscription in Toggl.

Delete Tag

Deletes a tag from a Toggl workspace.

Disable Weekly Report

Tool to disable weekly report email notifications.

Bulk Edit Time Entries

Tool to bulk edit multiple time entries in a workspace using JSON Patch operations.

Get All Plans

Tool to retrieve all available Toggl subscription plans and their features.

Get Client Details

Retrieves detailed information about a specific client in Toggl Track by its client ID and workspace ID.

Get Countries

Tool to retrieve all countries supported by Toggl.

Get Country Subdivisions

Tool to retrieve all subdivisions (states, provinces, regions) for a specific country in Toggl Track.

Get Currencies

Tool to retrieve the list of all currencies supported by Toggl Track.

Get Current Time Entry

Retrieves the currently running time entry for the authenticated user.

Get Event Filters

Retrieve the list of supported event filters for Toggl webhooks.

Get JWKS Keys

Retrieves the current JWKS (JSON Web Key Set) keyset used to sign JWT tokens.

List Clients

Retrieve a list of clients from a Toggl Track workspace with optional filtering by status and name.

Get My Location

Retrieves the authenticated user's last known location information including city, state, country, and coordinates.

Get My Quota

Tool to retrieve API rate limit quota for the authenticated user.

Get Organization Details

Retrieves detailed information about a specific Toggl organization including subscription plan, trial status, user count, and workspace settings.

Get Organization Groups

Retrieves all groups within a Toggl organization, including group members and workspace assignments.

Get Organization Users

Retrieves a list of users belonging to a Toggl organization.

Get Project Details

Tool to retrieve details of a specific project.

Get Projects

Tool to retrieve a list of projects from a Toggl workspace.

Get Public Subscription Plans

Tool to retrieve all publicly available subscription plans from Toggl.

Get Webhooks Status

Tool to retrieve the Toggl Webhooks server status.

Get Tags

Retrieve all tags in a Toggl workspace.

List Tasks

Tool to list tasks in a workspace or within a specific project.

Get Time Entries

Retrieve time entries for the authenticated user with flexible filtering options.

Get Time Entry

Tool to retrieve a specific time entry by its ID.

Get Timezone Offsets

Tool to retrieve all available timezone offsets from Toggl.

Get Timezones

Tool to retrieve all available timezones supported by Toggl Track.

Get User Clients

Retrieves all clients accessible to the authenticated user across all their workspaces.

Get User Preferences

Retrieves the authenticated user's preferences including timezone, date/time formats, notification settings, and enabled alpha/experimental features.

Get User Projects

Tool to retrieve all projects for the authenticated user.

Get User Tags

Tool to retrieve tags associated with the current user.

Get User Tasks

Retrieve all tasks across all workspaces accessible to the authenticated user.

Get User Workspaces

Tool to retrieve all workspaces the authenticated user belongs to.

Get Workspace Details

Retrieves comprehensive details and settings for a specific Toggl workspace by ID.

Get Workspace Logo

Tool to get workspace logo.

Get Workspace Preferences

Retrieves workspace preferences including the initial pricing plan and whether start/end times are hidden.

Get Workspace Users

Retrieves all users who belong to a specific Toggl workspace.

Stop Time Entry

Tool to stop a running time entry in a workspace.

Disable Product Emails

Tool to disable product emails for the authenticated user using a disable code.

Update Tag

Tool to update an existing tag in a specified workspace.

Send Demo Email

Tool to send a demo request email through Toggl's system.

Send Email to Contact

Tool to send an email to a contact via Toggl's smail service.

Send Smail Meet

Tool to send an email for meet.

Update Client

Updates an existing client in a Toggl workspace.

FRAMEWORKS

How to build Toggl MCP Agent with another framework

Claude Agent SDK logo

Claude Agent SDK

Use Toggl MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Toggl MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Toggl MCP with Claude Cowork

Codex logo

Codex

Use Toggl MCP with Codex

OpenClaw logo

OpenClaw

Use Toggl MCP with OpenClaw

Hermes logo

Hermes

Use Toggl MCP with Hermes

CLI logo

CLI

Use Toggl MCP with CLI

Google ADK logo

Google ADK

Use Toggl MCP with Google ADK

LangChain logo

LangChain

Use Toggl MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Toggl MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Toggl MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Toggl MCP with LlamaIndex

CrewAI logo

CrewAI

Use Toggl MCP with CrewAI

FAQ

Frequently asked questions

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

Yes, you can. OpenAI Agents SDK 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 tools.

Yes, absolutely. You can configure which Toggl 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.

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 data and credentials are handled as safely as possible.

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