---
title: "Connect Amazon SageMaker and Gately - APIANT.ai"
description: "When \"New Training Job\" fires in Amazon SageMaker, your agent runs \"Add contact\" in Gately."
canonical: "https://apiant.ai/connect/amazon-sagemaker-to-gately"
---

# Connect Amazon SageMaker and Gately

When **New Training Job** fires in [Amazon SageMaker](https://apiant.ai/connections/amazon-sagemaker), your agent runs **Add contact** in [Gately](https://apiant.ai/connections/gately), or **New Member** in Gately 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 Gately **1** trigger Gately **11** 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 Gately 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 Gately can do together

### From Amazon SageMaker to Gately

- When **New Training Job** in Amazon SageMaker then **Add contact** in Gately
- When **New Training Job** in Amazon SageMaker then **Send email** in Gately

### From Gately to Amazon SageMaker

- When **New Member** in Gately 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 Gately

## Triggers and actions 2 triggers · 12 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 Member**

Triggers when a new member signs up to your project.

- Action

**Add contact**

Create a new CRM contact.

- Action

**Add member**

Create a new project member.

- Action

**Delete contact**

Permanently delete a contact and all associated data.

- Action

**Find contacts by criteria**

Search/filter contacts via list endpoint query params (email, tag, list, segment).

- Action

**Get contact**

Retrieve a single CRM contact by ID.

- Action

**Get member**

Retrieve a single member by ID.

- Action

**List contacts**

Retrieve contacts for a project with optional filtering and pagination.

- Action

**List members**

Retrieve a paginated list of members in the project.

- Action

**Send email**

Send a transactional email to one or more recipients.

- Action

**Update contact**

Partially update a contact — only sent fields change.

- Action

**Update member**

Update an existing member.

## 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)
- [ **Gately** Gately is a membership platform that helps creators and teams build courses, manage members, publish...](https://apiant.ai/connections/gately)

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 Gately

- [ **ActiveCampaign to Gately** ActiveCampaign is a marketing automation, email marketing, and CRM platform.](https://apiant.ai/connect/activecampaign-to-gately)
- [ **Airtable to Gately** Organize anything with Airtable, a modern database created for everyone.](https://apiant.ai/connect/airtable-to-gately)
- [ **Asana to Gately** Asana is a collaborative information manager for workspace.](https://apiant.ai/connect/asana-to-gately)
- [ **ClickUp to Gately** ClickUp is an all-in-one app to plan, track, and manage your work in a beautifully intuitive environment.](https://apiant.ai/connect/clickup-to-gately)
- [ **Discord to Gately** Discord is an all-in-one voice and text chat for gamers.](https://apiant.ai/connect/discord-to-gately)
- [ **Freshdesk to Gately** Freshdesk is a cloud-based customer support and helpdesk platform.](https://apiant.ai/connect/freshdesk-to-gately)

Questions

## Amazon SageMaker and Gately, 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 Gately when something happens in Amazon SageMaker?

Any of Gately's 11 actions, including Send email, Update contact, Update member and Add contact. Your agent maps the data both ways and tests every scenario before it ships.

###

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

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

###

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

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 Gately 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.
