Productivity · Integration
Toggl Track
Add Toggl Track to your product for your customers, and give your AI agents governed access to it.
Toggl Track answers one question, where the hours went, and everything in it hangs off a time entry: a duration with a project, a client, a task, tags and a billable flag attached. An embedded Toggl Track integration writes those entries from work your product already observed, reads them back for billing or capacity, starts and stops a running timer, and pulls the detailed and summary reports a customer already reconciles against. The structural fact to design for is the workspace: projects, clients, tags and members all belong to one, a person can be in several, and an entry written to the wrong workspace is invisible to the person expecting it rather than merely misfiled. Toggl also sells other products under the same brand, so this is the time tracking one specifically. fastn holds each workspace's credentials per tenant.
In your product
Embedded for your customers. Per-tenant auth, no per-customer code, maintained by fastn.
Let each customer connect their own Toggl Track workspace so hours your product already knows about are logged without anybody retyping them.
Write time entries against the right project, client and tags, with the billable flag your customer's own rules imply.
Read summary and detailed reports so your product can invoice or forecast from the hours a customer already trusts.
Start and stop a running timer from your product, so a person tracking work never has to switch tools to do it.
For your AI agents
Governed, audited access for the agents you build, through the MCP server.
An agent reports where a team's hours went last week by project and client, reading only that workspace.
An agent logs or corrects a time entry within scoped permissions, with the project it wrote to recorded.
An agent flags entries with no project set before a billing run closes.
Example prompt
How many billable hours did this client get last month, and which projects took the rest of the time?
Set up Toggl Track in 4 steps
- 01Enable the Toggl Track connector in your fastn dashboard.
- 02Have each customer authorise their own workspace, since projects, clients and tags all belong to one workspace rather than to the account.
- 03Map the project, client, tag and billable fields your product uses, then enable the entry and report actions you need.
- 04Call it from your product and expose the same connection to your agents through the MCP gateway.
Why teams use the Toggl Track integration
What you get by embedding it with fastn instead of building it yourself.
- Ship a Toggl Track integration without building it. Your customers connect their own Toggl Track account inside your product and work their work items, assignees and due dates there, with no per-customer code on your side.
- Handle the part that actually costs time: every team configures its own fields, statuses and workflow stages. fastn owns the auth, token refresh, rate limits, pagination and breaking-change fixes, so a Toggl Track update is not your on-call problem.
- One integration serves your product and your agents. The same governed Toggl Track connection powers in-product features and gives AI agents scoped, audited access, so you keep work items in step with what happens in your product without wiring it twice.
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AWS Simple Storage ServiceToggl Track integration FAQ
How do I add a Toggl Track integration to my product?
Enable the Toggl Track connector in your fastn dashboard, then let each customer authenticate their own Toggl Track account. fastn handles the OAuth flow, token storage and refresh per tenant, so there is no Toggl Track client code in your app and no per-customer branch in your codebase. Setup is 4 steps.
Do my customers each connect their own Toggl Track account?
Yes. Every connection is scoped to the individual customer, so each authorises their own Toggl Track account and only ever sees their own work items, assignees and due dates. That per-tenant isolation is the point of an embedded integration: you support the long tail of customer setups without maintaining an integration per customer.
Can AI agents use this Toggl Track integration?
Yes. The same connection is exposed to your agents through the fastn MCP gateway, with permissions scoped per tenant and every call audited. An agent reports where a team's hours went last week by project and client, reading only that workspace.
Who maintains the Toggl Track integration?
fastn does. When Toggl Track changes an endpoint, deprecates a field or alters its auth, the fix lands in the connector rather than in your backlog, and your customers' connections keep working.
Can my product create and update work in Toggl Track automatically?
Yes. Items can be created, updated, assigned and transitioned from your product, and changes made in Toggl Track can trigger your workflows in return.
Does it adapt to each team's own Toggl Track setup?
Yes. However a team has configured Toggl Track, whether that is custom fields, statuses and workflow stages or its own calendars and working hours, those are mapped per customer, so an unusual setup works without custom code from you.
What can I build with the Toggl Track integration?
A common starting point: let each customer connect their own Toggl Track workspace so hours your product already knows about are logged without anybody retyping them. Teams also use it for the other use cases listed above, and expose it to agents for governed reads and writes.
How much does the Toggl Track integration cost?
It is included. Pricing is based on connected accounts, not on how many connectors you enable, so adding Toggl Track does not change your per-connector cost. You can start free with 3 connected accounts.
Add Toggl Track to your product
Start free with 3 connected accounts. No sales call required, and no per-customer integration code.