--- title: "Connect Amazon SageMaker and EARLY - APIANT.ai" description: "When \"New Training Job\" fires in Amazon SageMaker, your agent runs \"Add Member to Folder\" in EARLY." canonical: "https://apiant.ai/connect/amazon-sagemaker-to-early" --- # Connect Amazon SageMaker and EARLY When **New Training Job** fires in [Amazon SageMaker](https://apiant.ai/connections/amazon-sagemaker), your agent runs **Add Member to Folder** in [EARLY](https://apiant.ai/connections/early), or **Activity Created** in EARLY 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 EARLY **13** triggers EARLY **19** 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 EARLY 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 EARLY can do together ### From Amazon SageMaker to EARLY - When **New Training Job** in Amazon SageMaker then **Add Member to Folder** in EARLY - When **New Training Job** in Amazon SageMaker then **Create Activity** in EARLY ### From EARLY to Amazon SageMaker - When **Activity Created** in EARLY 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 EARLY ## Triggers and actions 14 triggers · 20 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 **Activity Created** Triggers when an activity is created. - Trigger **Activity Deleted** Triggers when an activity is deleted. - Trigger **Activity Updated** Triggers when an activity is updated. - Trigger **Folder Created** Triggers when a folder is created. - Trigger **Folder Deleted** Triggers when a folder is deleted. - Trigger **Folder Updated** Triggers when a folder is updated. - Trigger **Time Entry Created** Triggers when a time entry is created. - Trigger **Time Entry Deleted** Triggers when a time entry is deleted. - Trigger **Time Entry Updated** Triggers when a time entry is updated. - Trigger **Tracking Canceled** Triggers when a tracking is canceled. - Trigger **Tracking Started** Triggers when a new tracking is started. - Trigger **Tracking Stopped** Triggers when a tracking is stopped. - Trigger **Tracking Updated** Triggers when a tracking is updated. - Action **Add Member to Folder** Adds a person with a given email to a folder. - Action **Cancel Current Tracking** Cancels the tracking that is currently running without saving a time entry - Action **Create Activity** Creates an activity. - Action **Create Folder** Creates a folder. - Action **Create Tag** Creates an tag. - Action **Create Time Entry** Creates a time entry for a given activity, start- and end-time. - Action **Delete Activity** Deletes an activity by ID - Action **Delete Folder** Deletes a folder by ID - Action **Delete Time Entry** Deletes a time entry by ID - Action **Get Current Tracking** Gets the tracking that is currently running - Action **Get Folder** Gets a folder by ID - Action **Get Time Entry** Gets a time entry by ID - Action **List Activities** Lists the activities in the account - Action **Start Tracking** Start Tracking an Activity. - Action **Stop Current Tracking** Stop the current time tracking. - Action **Update Activity** Updates an existing activity by ID - Action **Update Current Tracking** Updates the tracking that is currently running - Action **Update Folder** Updates an existing folder by ID - Action **Update Time Entry** Updates an existing time entry by ID ## 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) - [ **EARLY** EARLY is a Time Tracking App: Effortless, Smart, and Secure.](https://apiant.ai/connections/early) 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 EARLY - [ **BriefTape to EARLY** Real-time AI-summarized SEC filings, Fed, FDA and BLS data, ticker-tagged](https://apiant.ai/connect/brieftape-to-early) - [ **HubSpot to EARLY** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-early) - [ **Slack to EARLY** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-early) - [ **Airtable to EARLY** Organize anything with Airtable, a modern database created for everyone.](https://apiant.ai/connect/airtable-to-early) - [ **Asana to EARLY** Asana is a collaborative information manager for workspace.](https://apiant.ai/connect/asana-to-early) - [ **ClickUp to EARLY** 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-early) Questions ## Amazon SageMaker and EARLY, 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 EARLY when something happens in Amazon SageMaker? Any of EARLY's 19 actions, including Create Activity, Create Folder, Create Tag and Create Time Entry. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from EARLY to Amazon SageMaker? Yes. When something happens in EARLY, your agent can act in Amazon SageMaker too. This page covers both directions: EARLY's triggers and Amazon SageMaker's actions are listed here as well. ### ### Do I have to build a connector for Amazon SageMaker or EARLY? 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 EARLY 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.