---
title: "Connect Amazon SageMaker and Clockify - APIANT.ai"
description: "When \"New Training Job\" fires in Amazon SageMaker, your agent runs \"Create Task\" in Clockify."
canonical: "https://apiant.ai/connect/amazon-sagemaker-to-clockify"
---

# Connect Amazon SageMaker and Clockify

When **New Training Job** fires in [Amazon SageMaker](https://apiant.ai/connections/amazon-sagemaker), your agent runs **Create Task** in [Clockify](https://apiant.ai/connections/clockify), or **New Client** in Clockify to **Invoke Endpoint** in Amazon SageMaker. Describe the whole flow and it is built, tested on every scenario and kept running.

Amazon SageMaker **1** trigger Amazon SageMaker **1** action Clockify **7** triggers Clockify **24** actions

What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.

## What do you want Amazon SageMaker and Clockify to do together?

Give your AI client this address.

`https://mcp.apiant.ai`

One connection does both: ask your client to act in an app once, or have it build an automation that keeps running. Any client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser.

### Set it up in your client

### Claude Code

Run this in the directory you want to work in.

`claude mcp add --transport http -s project apiant-ai https://mcp.apiant.ai`

Start Claude Code there, approve the server, and sign in in the browser page it opens.

[Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code)

### Claude, web and desktop

Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### Cursor

Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### Zed

Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### Codex and the ChatGPT desktop app

Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### Any other MCP client

Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

Example flows

## What Amazon SageMaker and Clockify can do together

### From Amazon SageMaker to Clockify

- When **New Training Job** in Amazon SageMaker then **Create Task** in Clockify
- When **New Training Job** in Amazon SageMaker then **Create Client** in Clockify

### From Clockify to Amazon SageMaker

- When **New Client** in Clockify then **Invoke Endpoint** in Amazon SageMaker

Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships.

Everything your agent can do with Amazon SageMaker and Clockify

## Triggers and actions 8 triggers · 25 actions

- Trigger

**New Training Job**

Triggers when a new SageMaker training job is created.

- Action

**Invoke Endpoint**

Sends input to a deployed Amazon SageMaker model endpoint and returns its prediction.

- Trigger

**New Client**

Triggers when a new client is added to a workspace.

- Trigger

**New Project**

Triggers when a new project is added to a workspace.

- Trigger

**New Tag**

Triggers when a new tag is added to a workspace.

- Trigger

**New Task**

Triggers when a new task is added to a project on a specified workspace.

- Trigger

**New Time Entry**

Triggers when a new time entry is added.

- Trigger

**New Timer Started**

Triggers when a new entry is started and running.

- Trigger

**New Workspace**

Triggers when a new workspace is created.

- Action

**Create Client**

Creates a client on a specified workspace.

- Action

**Create Project**

Creates a project on a specified workspace.

- Action

**Create Tag**

Creates a tag on a specified workspace.

- Action

**Create Task**

Creates a task on a specified project.

- Action

**Create Time Entry**

Creates a new time entry on a specified workspace.

- Action

**Delete Client**

Delete a client from a workspace.

- Action

**Delete Project**

Delete a project from a workspace.

- Action

**Delete Tag**

Delete a tag from a workspace.

- Action

**Delete Task**

Delete a task from a project.

- Action

**Delete Time Entry**

Delete a time entry from a workspace.

- Action

**Find Client**

Finds a client by name on a specified workspace.

- Action

**Find Project**

Finds a project by name on a specified workspace.

- Action

**Find Running Timer**

Finds a currently running time entry on a specified workspace.

- Action

**Find Tag**

Finds a tag on a specified workspace.

- Action

**Find Task**

Finds a task by name on a specified project and workspace.

- Action

**Find Time Entry**

Finds a time entry by description, start datetime or end datetime.

- Action

**List Workspaces**

List all workspaces the authenticated user belongs to.

- Action

**Start Timer**

Starts a new time entry.

- Action

**Stop Timer**

Stops currently running time entry on a specified workspace.

- Action

**Update Client**

Update a client's name/note/archived status.

- Action

**Update Project**

Update a project's name/color/client/billable status/dates.

- Action

**Update Tag**

Update a tag's name/archived status on a workspace.

- Action

**Update Task**

Update a task's name/status/assignee/estimate on a project.

- Action

**Update Time Entry**

Update a time entry's start/end/description/project/task/billable/tags on a workspace.

## Each app on its own

- [ **Amazon SageMaker** Amazon SageMaker is a cloud platform for building, training, and deploying machine learning models at scale](https://apiant.ai/connections/amazon-sagemaker)
- [ **Clockify** Clockify is a completely free time tracking software for teams.](https://apiant.ai/connections/clockify)

Reviews

## What our customers say

## More from Amazon SageMaker

- [ **Amazon SageMaker to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/amazon-sagemaker-to-hubspot)
- [ **Amazon SageMaker to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/amazon-sagemaker-to-salesforce)
- [ **Amazon SageMaker to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/amazon-sagemaker-to-slack)
- [ **Amazon SageMaker to Google Sheets** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/amazon-sagemaker-to-google-sheets)
- [ **Amazon SageMaker to Gmail** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/amazon-sagemaker-to-gmail)
- [ **Amazon SageMaker to Google Calendar** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/amazon-sagemaker-to-google-calendar)

## More into Clockify

- [ **StealthSeminar to Clockify** StealthSeminar is a webinar platform to run pre-recorded webinars as if they are live to better leverage...](https://apiant.ai/connect/stealthseminar-to-clockify)
- [ **Slack to Clockify** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-clockify)
- [ **Shopify to Clockify** Shopify is a commerce platform for online stores and retail point-of-sale.](https://apiant.ai/connect/shopify-to-clockify)
- [ **ActiveCampaign to Clockify** ActiveCampaign is a marketing automation, email marketing, and CRM platform.](https://apiant.ai/connect/activecampaign-to-clockify)
- [ **Airtable to Clockify** Organize anything with Airtable, a modern database created for everyone.](https://apiant.ai/connect/airtable-to-clockify)
- [ **Trello to Clockify** Trello is a visual collaboration tool that organizes projects into boards, lists, and cards.](https://apiant.ai/connect/trello-to-clockify)

Questions

## Amazon SageMaker and Clockify, answered

###

### What can start an automation from Amazon SageMaker?

Any of Amazon SageMaker's 1 trigger in the catalog, including New Training Job. Describe the moment in plain language and your agent picks the right one.

###

### What can your agent do in Clockify when something happens in Amazon SageMaker?

Any of Clockify's 24 actions, including Create Client, Create Project, Create Tag and Create Task. Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from Clockify to Amazon SageMaker?

Yes. When something happens in Clockify, your agent can act in Amazon SageMaker too. This page covers both directions: Clockify's triggers and Amazon SageMaker's actions are listed here as well.

###

### Do I have to build a connector for Amazon SageMaker or Clockify?

No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running.

###

### Can my AI client use Amazon SageMaker and Clockify without building an automation?

Yes. With your AI client connected to APIANT, ask it to do something in either app once and it runs that action on the spot. Ask for an automation and your agent builds it, tests every scenario and keeps it running. One connection covers both.

###

### What happens when something fails?

Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships.

###

### Is there a free plan?

Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.
