How to integrate Toggl MCP with Mastra AI

This guide walks you through connecting Toggl to Mastra AI 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 Mastra AI 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 Mastra AI 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 Mastra AI 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

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKLlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Set up your environment so Mastra, OpenAI, and Composio work together
  • Create a Tool Router session in Composio that exposes Toggl tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch Toggl tool definitions and attach them as a toolset
  • Build a Mastra agent that can reason, call tools, and return structured results
  • Run an interactive CLI where you can chat with your Toggl agent

What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.

Key features include:

  • MCP Client: Built-in support for Model Context Protocol servers
  • Toolsets: Organize tools into logical groups
  • Step Callbacks: Monitor and debug agent execution
  • OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

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:
  • Node.js 18 or higher
  • A Composio account with an active API key
  • An OpenAI API key
  • Basic familiarity with TypeScript
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key.
  • You need credits or a connected billing setup to use the models.
  • Store the key somewhere safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Go to Settings and copy your API key.
  • This key lets your Mastra agent talk to Composio and reach Toggl through MCP.
3

Install dependencies

bash
npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv

Install the required packages.

What's happening:

  • @composio/core is the Composio SDK for creating MCP sessions
  • @mastra/core provides the Agent class
  • @mastra/mcp is Mastra's MCP client
  • @ai-sdk/openai is the model wrapper for OpenAI
  • dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your requests to Composio
  • COMPOSIO_USER_ID tells Composio which user this session belongs to
  • OPENAI_API_KEY lets the Mastra agent call OpenAI models
5

Import libraries and validate environment

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey as string,
});
What's happening:
  • dotenv/config auto loads your .env so process.env.* is available
  • openai gives you a Mastra compatible model wrapper
  • Agent is the Mastra agent that will call tools and produce answers
  • MCPClient connects Mastra to your Composio MCP server
  • Composio is used to create a Tool Router session
6

Create a Tool Router session for Toggl

typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["toggl"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Toggl MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "toggl" for Toggl access
  • session.mcp.url is the MCP URL that Mastra's MCPClient will connect to
7

Configure Mastra MCP client and fetch tools

typescript
const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);
What's happening:
  • MCPClient takes an id for this client and a list of MCP servers
  • The headers property includes the x-api-key for authentication
  • getTools fetches the tool definitions exposed by the Toggl toolkit
8

Create the Mastra agent

typescript
const agent = new Agent({
    name: "toggl-mastra-agent",
    instructions: "You are an AI agent with Toggl tools via Composio.",
    model: "openai/gpt-5",
  });
What's happening:
  • Agent is the core Mastra agent
  • name is just an identifier for logging and debugging
  • instructions guide the agent to use tools instead of only answering in natural language
  • model uses openai("gpt-5") to configure the underlying LLM
9

Set up interactive chat interface

typescript
let messages: AiMessageType[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end.\n");

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: "> ",
});

rl.prompt();

rl.on("line", async (userInput: string) => {
  const trimmedInput = userInput.trim();

  if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) {
    console.log("\nGoodbye!");
    rl.close();
    process.exit(0);
  }

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

  messages.push({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        toggl: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
What's happening:
  • messages keeps the full conversation history in Mastra's expected format
  • agent.generate runs the agent with conversation history and Toggl toolsets
  • maxSteps limits how many tool calls the agent can take in a single run
  • onStepFinish is a hook that prints intermediate steps for debugging

Complete Code

Here's the complete code to get you started with Toggl and Mastra AI:

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({ apiKey: composioAPIKey as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["toggl"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      toggl: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "toggl-mastra-agent",
    instructions: "You are an AI agent with Toggl tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: "> ",
  });

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { toggl: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();

Conclusion

You've built a Mastra AI agent that can interact with Toggl through Composio's Tool Router. You can extend this further by:
  • Adding other toolkits like Gmail, Slack, or GitHub
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows
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

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Toggl MCP with OpenAI Agents SDK

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

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. Mastra AI 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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A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

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