# Connect Google BigQuery to Voucherify When **New Job Completed** fires in [Google BigQuery](https://apiant.ai/connections/google-bigquery), your agent runs **Add Customer** in [Voucherify](https://apiant.ai/connections/voucherify). Describe the whole flow and it is built, tested on every scenario and kept running. Google BigQuery **4** triggers Google BigQuery **10** actions Voucherify **22** 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 Voucherify 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 Google BigQuery can start in Voucherify - When **New Job Completed** in Google BigQuery then **Add Customer** in Voucherify - When **New Row** in Google BigQuery then **Update Customer** in Voucherify 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 Voucherify ## Triggers and actions 4 triggers · 32 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. - Action **Add Campaign** Create a new voucher campaign (discount, gift, referral, or loyalty). - Action **Add Customer** Create a new customer profile with contact info, address, and metadata. - Action **Add Publication** Publishes a voucher to a customer: either a specific voucher code, or one or more codes drawn from a campaign. - Action **Add Voucher** Create a new voucher, optionally with a specific or auto-generated code, discount/gift/loyalty-card type, and validity rules. - Action **Add Vouchers to Campaign** Adds one or more new vouchers to an existing campaign. New vouchers inherit the campaign's settings unless overridden here. - Action **Check eligibility** Returns the vouchers, promotion tiers and campaigns a customer and/or order qualifies for. - Action **Delete Campaign** Deletes a campaign and all its vouchers, either moving them to the bin or removing them permanently. Deletion runs in the background. - Action **Delete Customer** Deletes a customer in Voucherify. The customer is removed, so a new customer with the same source id can be created afterwards. - Action **Delete Voucher** Deletes a voucher by its code, either moving it to the bin or removing it permanently. Also removes the voucher's redemptions. - Action **Get Campaign** Retrieves a Voucherify campaign by its id or name. - Action **Get Customer** Retrieve a single customer by ID or source_id. - Action **Get Redemption** Returns a single redemption or redemption rollback by its ID, whether it succeeded or failed. - Action **Get Voucher** Retrieves a voucher by its code or the id Voucherify assigned to it. - Action **List Campaigns** Lists campaigns in the Voucherify project, optionally filtered by type, status or referral flag. - Action **List Customers** Returns a list of customers, optionally filtered by email, city, name, segment, or created/updated dates. - Action **List Redemptions** Returns a list of redemptions and redemption rollbacks, most recent first, optionally narrowed by result, campaign, customer, date and other filters. - Action **List Vouchers** Returns vouchers in the project, most recent first, optionally narrowed by campaign, category, customer, code or creation/update dates. - Action **Redeem Voucher** Redeems a voucher code (discount code, gift card or loyalty card) against an optional order and customer, incrementing the voucher's redemption count. - Action **Rollback Redemption** Undo a single (non-stacked) redemption, returning its redemption to the voucher's pool and restoring any gift card credits or loyalty points it used. - Action **Update Customer** Updates an existing Voucherify customer. Only the values you fill in are changed; blank fields are left as they are. - Action **Update Voucher** Updates an existing voucher. Only the values you fill in are changed; everything else on the voucher stays as it is. - Action **Validate voucher** Checks whether a voucher, gift card or loyalty card code can be applied to an order and customer, and returns the discount it would give, without redeeming it. ## 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) - [ **Voucherify** Build promotional campaigns faster. Programmable building blocks for coupon, referral, and loyalty programs.](https://apiant.ai/connections/voucherify) 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 Voucherify - [ **HubSpot to Voucherify** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-voucherify) - [ **Salesforce to Voucherify** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-voucherify) - [ **Slack to Voucherify** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-voucherify) - [ **Google Sheets to Voucherify** Google Sheets](https://apiant.ai/connect/google-sheets-to-voucherify) - [ **Gmail to Voucherify** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-voucherify) - [ **Google Calendar to Voucherify** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-voucherify) Questions ## Google BigQuery and Voucherify, 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 Voucherify when something happens in Google BigQuery? Any of Voucherify's 22 actions, including Update Customer, Update Voucher, Add Campaign and Add Customer. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Voucherify to Google BigQuery? Voucherify has no triggers in the catalog today, so automations start in Google BigQuery. If you need the other direction, ask: your agent reads Voucherify's API documentation and adds it. ### ### Do I have to build a connector for Google BigQuery or Voucherify? 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 Google BigQuery and Voucherify 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.