# Connect Google BigQuery and Shade When **New Job Completed** fires in [Google BigQuery](https://apiant.ai/connections/google-bigquery), your agent runs **Copy a File** in [Shade](https://apiant.ai/connections/shade), or **Asset Updated** in Shade to **Create Row** in Google BigQuery. Describe the whole flow and it is built, tested on every scenario and kept running. Google BigQuery **4** triggers Google BigQuery **10** actions Shade **7** triggers Shade **7** actions What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it. ## What do you want Google BigQuery and Shade to do together? Give your AI client this address. `https://mcp.apiant.ai` 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 Google BigQuery and Shade can do together ### From Google BigQuery to Shade - When **New Job Completed** in Google BigQuery then **Copy a File** in Shade - When **New Row** in Google BigQuery then **Share File or Folder** in Shade ### From Shade to Google BigQuery - When **Asset Updated** in Shade then **Create Row** in Google BigQuery - When **New Asset** in Shade then **Create Rows** in Google BigQuery 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 Google BigQuery and Shade ## Triggers and actions 11 triggers · 17 actions - Trigger **New Job Completed** Triggers when a BigQuery job in the project finishes, whether it succeeded or failed. - Trigger **New Row** Triggers when a new row is added to a table. New rows are detected by a column you name that increases for newer rows, such as a creation time or a sequential ID. - Trigger **Query Job Completed (With Row Data)** Triggers when a SELECT query job in the project finishes successfully, and includes its result rows. - Trigger **Updated Row** Triggers when a row in a table is added or changed, detected by a last-updated timestamp column you name. - Action **Create Row** Creates a new row of data in a table. Note: Does not create a job. - Action **Create Rows** Creates new rows of data in a table (accepts line items). Note: Does not create a job. - Action **Delete Rows** Deletes every row in a table whose match column equals the value you give. - Action **Find One Row** Finds the first row in a table whose column equals the value you give. - Action **Get Rows for Job Completed** Returns the result rows of a finished query job. - Action **Import Data** Imports a JSON, CSV, Avro or Parquet file from Cloud Storage into a table. Waits up to about 40 seconds for the import to finish; larger imports keep running in BigQuery and return state RUNNING. - Action **List Datasets** Returns the datasets in a Google Cloud project. - Action **List Tables** Returns the tables in a BigQuery dataset. - Action **Run a Query** Runs a SQL query against a table in BigQuery. - Action **Update Row(s)** Updates every row in a table whose match column equals the value you give, setting the columns you choose. - Trigger **Asset Updated** Triggers when an asset in the Shade drive and folder you select is added or changed. - Trigger **New Asset** Triggers when a new asset appears in the Shade drive and folder you select. - Trigger **New Collection** Triggers when a new collection is created in the Shade drive you select. - Trigger **New Drive** Triggers when a new drive is created in the Shade workspace you select. - Trigger **New Public Share Link** Triggers when a new public share link is created in the Shade drive you select. - Trigger **New Transcription** Triggers when an asset in the Shade drive and folder you select finishes transcription. - Trigger **Public Share Link Updated** Triggers when a public share link in the Shade drive you select is created or changed. - Action **Copy a File** Copies a file or folder to another location within the same Shade drive. - Action **Create Folder** Creates a folder at the path you supply in a Shade drive. - Action **Find an Asset** Returns the assets in a Shade drive that match the text you search for, optionally narrowed by precision filters. - Action **Get Public Links for a File or Folder** Returns the public share links that exist for a file or folder in a Shade drive. - Action **Search Asset Chunks** Search a Shade drive and get back matching assets together with the specific chunks (subclips, document passages, image regions) that matched, with a relevance floor you control per media type. - Action **Search for an Asset by Description** Searches a Shade drive with a plain-language description and returns the assets that match, using Shade's AI index. - Action **Share File or Folder** Shares a file or folder in a Shade drive with the people you list, at the role you choose. Each person is emailed an invitation. ## Each app on its own - [ **Google BigQuery** BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your...](https://apiant.ai/connections/google-bigquery) - [ **Shade** Shade is an AI-powered cloud NAS for media teams that enables real-time editing, natural language search...](https://apiant.ai/connections/shade) Reviews ## What our customers say ## More from Google BigQuery - [ **Google BigQuery to HTML to Image** HTML to Image is a Powerful Image Generation API to convert HTML/CSS to Image and to take screenshots of...](https://apiant.ai/connect/google-bigquery-to-html-to-image) - [ **Google BigQuery to PaperClean** Clean document photos for printing, remove shadows, fix lighting](https://apiant.ai/connect/google-bigquery-to-paperclean) - [ **Google BigQuery to Resend** Resend is the email API for developers. It's designed for you to build, test, and send transactional and...](https://apiant.ai/connect/google-bigquery-to-resend) - [ **Google BigQuery to TypeSafe** TypeSafe's Jev model answers typed questions about a piece of content and tells you how certain it is.](https://apiant.ai/connect/google-bigquery-to-typesafe) - [ **Google BigQuery to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/google-bigquery-to-hubspot) - [ **Google BigQuery to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/google-bigquery-to-salesforce) ## More into Shade - [ **HubSpot to Shade** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-shade) - [ **Salesforce to Shade** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-shade) - [ **Slack to Shade** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-shade) - [ **Google Sheets to Shade** Google Sheets](https://apiant.ai/connect/google-sheets-to-shade) - [ **Gmail to Shade** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-shade) - [ **Google Calendar to Shade** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-shade) Questions ## Google BigQuery and Shade, answered ### ### What can start an automation from Google BigQuery? Any of Google BigQuery's 4 triggers in the catalog, including New Job Completed, New Row, Query Job Completed (With Row Data) and Updated Row. Describe the moment in plain language and your agent picks the right one. ### ### What can your agent do in Shade when something happens in Google BigQuery? Any of Shade's 7 actions, including Create Folder, Copy a File, Find an Asset and Get Public Links for a File or Folder. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Shade to Google BigQuery? Yes. When something happens in Shade, your agent can act in Google BigQuery too. This page covers both directions: Shade's triggers and Google BigQuery's actions are listed here as well. ### ### Do I have to build a connector for Google BigQuery or Shade? 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. ### ### 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.