--- title: "Connect Amazon CloudFront and BigML - APIANT.ai" description: "When \"New Distribution\" fires in Amazon CloudFront, your agent runs \"Get Resource Status\" in BigML." canonical: "https://apiant.ai/connect/amazon-cloudfront-to-bigml" --- # Connect Amazon CloudFront and BigML When **New Distribution** fires in [Amazon CloudFront](https://apiant.ai/connections/amazon-cloudfront), your agent runs **Get Resource Status** in [BigML](https://apiant.ai/connections/bigml), or **New project** in BigML to **Invalidate Item** in Amazon CloudFront. Describe the whole flow and it is built, tested on every scenario and kept running. Amazon CloudFront **2** triggers Amazon CloudFront **1** action BigML **1** trigger BigML **4** 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 CloudFront and BigML 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 CloudFront and BigML can do together ### From Amazon CloudFront to BigML - When **New Distribution** in Amazon CloudFront then **Get Resource Status** in BigML - When **New Invalidation** in Amazon CloudFront then **List Datasets** in BigML ### From BigML to Amazon CloudFront - When **New project** in BigML then **Invalidate Item** in Amazon CloudFront 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 CloudFront and BigML ## Triggers and actions 3 triggers · 5 actions - Trigger **New Distribution** Triggers when a new CloudFront distribution is created. - Trigger **New Invalidation** Triggers when a new cache invalidation is created on a CloudFront distribution. - Action **Invalidate Item** Clears one file path (or a wildcard such as /*) from a CloudFront distribution's cache so the next request fetches the latest version. - Trigger **New project** Triggered when a new project is created in BigML. Polls the BigML projects list endpoint and emits each project, deduplicated by its resource id. - Action **Get Resource Status** Retrieve a BigML resource by id (source/dataset/model/prediction) to poll its status and read results. - Action **List Datasets** List BigML datasets, optionally filtered/paginated. - Action **List Models** List BigML models, optionally filtered/paginated. - Action **List Sources** List BigML sources, optionally filtered/paginated. ## Each app on its own - [ **Amazon CloudFront** Amazon CloudFront is a content delivery web service.](https://apiant.ai/connections/amazon-cloudfront) - [ **BigML** BigML is a machine learning platform for building, evaluating, and running predictive models.](https://apiant.ai/connections/bigml) Reviews ## What our customers say ## More from Amazon CloudFront - [ **Amazon CloudFront to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/amazon-cloudfront-to-hubspot) - [ **Amazon CloudFront to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/amazon-cloudfront-to-salesforce) - [ **Amazon CloudFront to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/amazon-cloudfront-to-slack) - [ **Amazon CloudFront to Google Sheets** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/amazon-cloudfront-to-google-sheets) - [ **Amazon CloudFront to Gmail** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/amazon-cloudfront-to-gmail) - [ **Amazon CloudFront to Google Calendar** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/amazon-cloudfront-to-google-calendar) ## More into BigML - [ **ActiveCampaign to BigML** ActiveCampaign is a marketing automation, email marketing, and CRM platform.](https://apiant.ai/connect/activecampaign-to-bigml) - [ **Trello to BigML** Trello is a visual collaboration tool that organizes projects into boards, lists, and cards.](https://apiant.ai/connect/trello-to-bigml) - [ **Asana to BigML** Asana is a collaborative information manager for workspace.](https://apiant.ai/connect/asana-to-bigml) - [ **PagerDuty to BigML** PagerDuty is an incident management and on-call alerting platform.](https://apiant.ai/connect/pagerduty-to-bigml) - [ **Adyen to BigML** Payment infrastructure platform enabling enterprises to accept, settle, and move funds globally with...](https://apiant.ai/connect/adyen-to-bigml) - [ **Agile CRM to BigML** Agile CRM is an all-in-one CRM with sales, marketing, and service automation.](https://apiant.ai/connect/agile-crm-to-bigml) Questions ## Amazon CloudFront and BigML, answered ### ### What can start an automation from Amazon CloudFront? Any of Amazon CloudFront's 2 triggers in the catalog, including New Distribution and New Invalidation. Describe the moment in plain language and your agent picks the right one. ### ### What can your agent do in BigML when something happens in Amazon CloudFront? Any of BigML's 4 actions, including Get Resource Status, List Datasets, List Models and List Sources. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from BigML to Amazon CloudFront? Yes. When something happens in BigML, your agent can act in Amazon CloudFront too. This page covers both directions: BigML's triggers and Amazon CloudFront's actions are listed here as well. ### ### Do I have to build a connector for Amazon CloudFront or BigML? 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 CloudFront and BigML 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.