--- title: "Connect Amazon SageMaker to Labelixa - APIANT.ai" description: "When \"New Training Job\" fires in Amazon SageMaker, your agent runs \"Convert font to ZPL\" in Labelixa." canonical: "https://apiant.ai/connect/amazon-sagemaker-to-labelixa" --- # Connect Amazon SageMaker to Labelixa When **New Training Job** fires in [Amazon SageMaker](https://apiant.ai/connections/amazon-sagemaker), your agent runs **Convert font to ZPL** in [Labelixa](https://apiant.ai/connections/labelixa). Describe the whole flow and it is built, tested on every scenario and kept running. Amazon SageMaker **1** trigger Amazon SageMaker **1** action Labelixa **8** 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 Labelixa 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 can start in Labelixa - When **New Training Job** in Amazon SageMaker then **Convert font to ZPL** in Labelixa - When **New Training Job** in Amazon SageMaker then **Convert image to ZPL** in Labelixa 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 Labelixa ## Triggers and actions 1 trigger · 9 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. - Action **Convert font to ZPL** Convert a TrueType font to a ZPL ~DU command; optional ?chars= subsetting. - Action **Convert image to ZPL** Convert an image or PDF to a ZPL ^GF graphic command. - Action **Generate barcode** Produce a single barcode as PNG/SVG/PDF. - Action **Generate label image** Render ZPL to a single label PNG/PDF. - Action **Generate label PDF** Render all labels in ZPL into one PDF. - Action **List barcode types** Return the barcode type catalogue (JSON). - Action **Measure text** Measure text width in dots for centering/^FB. - Action **Validate ZPL** Analyse ZPL without rendering and return findings (JSON). ## 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) - [ **Labelixa** Render, validate and generate Zebra ZPL label barcodes as PNG/PDF](https://apiant.ai/connections/labelixa) 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 Labelixa - [ **HubSpot to Labelixa** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-labelixa) - [ **Salesforce to Labelixa** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-labelixa) - [ **Slack to Labelixa** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-labelixa) - [ **Google Sheets to Labelixa** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-labelixa) - [ **Gmail to Labelixa** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-labelixa) - [ **Google Calendar to Labelixa** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-labelixa) Questions ## Amazon SageMaker and Labelixa, 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 Labelixa when something happens in Amazon SageMaker? Any of Labelixa's 8 actions, including Convert font to ZPL, Convert image to ZPL, Generate barcode and Generate label image. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Labelixa to Amazon SageMaker? Labelixa has no triggers in the catalog today, so automations start in Amazon SageMaker. If you need the other direction, ask: your agent reads Labelixa's API documentation and adds it. ### ### Do I have to build a connector for Amazon SageMaker or Labelixa? 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 Labelixa 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.