--- title: "Connect Google BigQuery and Sellsy - APIANT.ai" description: "When \"New Job Completed\" fires in Google BigQuery, your agent runs \"Create Contact\" in Sellsy." canonical: "https://apiant.ai/connect/google-bigquery-to-sellsy" --- # Connect Google BigQuery and Sellsy When **New Job Completed** fires in [Google BigQuery](https://apiant.ai/connections/google-bigquery), your agent runs **Create Contact** in [Sellsy](https://apiant.ai/connections/sellsy), or **New Company** in Sellsy 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 Sellsy **9** triggers Sellsy **15** 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 Sellsy 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 and Sellsy can do together ### From Google BigQuery to Sellsy - When **New Job Completed** in Google BigQuery then **Create Contact** in Sellsy - When **New Row** in Google BigQuery then **Create Task** in Sellsy ### From Sellsy to Google BigQuery - When **New Company** in Sellsy then **Create Row** in Google BigQuery - When **New Contact** in Sellsy 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 Sellsy ## Triggers and actions 13 triggers · 25 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 **Deleted Task** Triggers when a task is deleted. - Trigger **New Company** Triggers when a new company (client or prospect) is created. - Trigger **New Contact** Triggers when a new contact is created. - Trigger **New Opportunity** Triggers when a new opportunity is created. - Trigger **New Task** Triggers when a new task is created. - Trigger **Updated Company** Triggers when a company (client or prospect) is updated. - Trigger **Updated Contact** Triggers when a contact is updated. - Trigger **Updated Opportunity Status** Triggers when the status is changed on an opportunity. - Trigger **Updated Task** Triggers when a task is updated. - Action **Create Annotation** Creates a new annotation. - Action **Create Company** Creates a new company (prospect or client). - Action **Create Contact** Creates a new contact. - Action **Create Opportunity** Creates an opportunity. - Action **Create Task** Creates a new Task. - Action **Create/Update Company** Creates a new company (prospect or client). Make an update if we found an existing company with provided email. - Action **Create/Update Contact** Creates a new contact. Make an update if we found an existing contact with provided email. - Action **Delete Task** Deletes a Sellsy task. - Action **Find Company** Finds an existing company (prospect or client). - Action **Find Contact** Finds an existing contact. - Action **Get Opportunity** Returns one Sellsy opportunity by id. - Action **Get Task** Returns one Sellsy task by id. - Action **List Opportunity Pipeline Steps** Lists the steps of a pipeline; supplies the required step id for Create Opportunity. - Action **Update Opportunity** updates an existing opportunity's fields, including its status (open/won/lost/cancelled/...) and pipeline step; a status change fires the opportunity.status webhook event. - Action **Update Task** updates a task's title, description, due date, status etc.; fires task.updated. ## 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) - [ **Sellsy** Sellsy is a French SaaS that helps SMBs and VBEs manage sales, invoicing, marketing, and cash flow in one...](https://apiant.ai/connections/sellsy) 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 Sellsy - [ **Discord to Sellsy** Discord is an all-in-one voice and text chat for gamers.](https://apiant.ai/connect/discord-to-sellsy) - [ **HubSpot to Sellsy** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-sellsy) - [ **Salesforce to Sellsy** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-sellsy) - [ **Google Sheets to Sellsy** Google Sheets](https://apiant.ai/connect/google-sheets-to-sellsy) - [ **Gmail to Sellsy** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-sellsy) - [ **Google Calendar to Sellsy** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-sellsy) Questions ## Google BigQuery and Sellsy, 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 Sellsy when something happens in Google BigQuery? Any of Sellsy's 15 actions, including Create Annotation, Create Company, Create Contact and Create Opportunity. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Sellsy to Google BigQuery? Yes. When something happens in Sellsy, your agent can act in Google BigQuery too. This page covers both directions: Sellsy's triggers and Google BigQuery's actions are listed here as well. ### ### Do I have to build a connector for Google BigQuery or Sellsy? 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 Sellsy 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.