# Connect BigML to Google Cloud Run When **New project** fires in [BigML](https://apiant.ai/connections/bigml), your agent runs **Run Job** in [Google Cloud Run](https://apiant.ai/connections/google-cloud-run). Describe the whole flow and it is built, tested on every scenario and kept running. BigML **1** trigger BigML **4** actions Google Cloud Run **6** actions What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it. ## What do you want BigML and Google Cloud Run 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 BigML can start in Google Cloud Run - When **New project** in BigML then **Run Job** in Google Cloud Run - When **New project** in BigML then **Get Execution** in Google Cloud Run 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 BigML and Google Cloud Run ## Triggers and actions 1 trigger · 10 actions - 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. - Action **Get Execution** Returns a Cloud Run job execution's progress: how many tasks are running, succeeded or failed. - Action **Get Service** Returns a Cloud Run service's URL, latest revision and status. - Action **List Jobs** Returns the Cloud Run jobs in a project, in one region or across all regions. - Action **List Revisions** Returns the revisions of a Cloud Run service. - Action **List Services** Returns the Cloud Run services in a project, in one region or across all regions. - Action **Run Job** Starts a new execution of a Cloud Run job and returns the execution's ID. ## Each app on its own - [ **BigML** BigML is a machine learning platform for building, evaluating, and running predictive models.](https://apiant.ai/connections/bigml) - [ **Google Cloud Run** Serverless platform for running containerized services and jobs on Google Cloud.](https://apiant.ai/connections/google-cloud-run) Reviews ## What our customers say ## More from BigML - [ **BigML to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/bigml-to-hubspot) - [ **BigML to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/bigml-to-salesforce) - [ **BigML to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/bigml-to-slack) - [ **BigML to Mailchimp** Mailchimp marketing automation and email platform.](https://apiant.ai/connect/bigml-to-mailchimp) - [ **BigML to Shopify** Shopify is a commerce platform for online stores and retail point-of-sale.](https://apiant.ai/connect/bigml-to-shopify) - [ **BigML to QuickBooks Online** QuickBooks Online accounting — manage customers, invoices, bills, payments, vendors, expenses, and more via...](https://apiant.ai/connect/bigml-to-quickbooks-online) ## More into Google Cloud Run - [ **Airtable to Google Cloud Run** Organize anything with Airtable, a modern database created for everyone.](https://apiant.ai/connect/airtable-to-google-cloud-run) - [ **SendGrid to Google Cloud Run** SendGrid by Twilio — email delivery and marketing platform.](https://apiant.ai/connect/sendgrid-to-google-cloud-run) - [ **Outlook to Google Cloud Run** Outlook is Microsoft's email and calendaring platform integrating contacts and scheduling, enabling users to...](https://apiant.ai/connect/outlook-to-google-cloud-run) - [ **Postman to Google Cloud Run** Postman is a platform for building and testing APIs.](https://apiant.ai/connect/postman-to-google-cloud-run) - [ **HubSpot to Google Cloud Run** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-google-cloud-run) - [ **Salesforce to Google Cloud Run** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-google-cloud-run) Questions ## BigML and Google Cloud Run, answered ### ### What can start an automation from BigML? Any of BigML's 1 trigger in the catalog, including New project. Describe the moment in plain language and your agent picks the right one. ### ### What can your agent do in Google Cloud Run when something happens in BigML? Any of Google Cloud Run's 6 actions, including Get Execution, Get Service, List Jobs and List Revisions. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Google Cloud Run to BigML? Google Cloud Run has no triggers in the catalog today, so automations start in BigML. If you need the other direction, ask: your agent reads Google Cloud Run's API documentation and adds it. ### ### Do I have to build a connector for BigML or Google Cloud Run? 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 BigML and Google Cloud Run 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.