--- title: "Connect Google BigQuery and Productive.io - APIANT.ai" description: "When \"New Job Completed\" fires in Google BigQuery, your agent runs \"Add Comment to Deal\" in Productive.io." canonical: "https://apiant.ai/connect/google-bigquery-to-productive-io" --- # Connect Google BigQuery and Productive.io When **New Job Completed** fires in [Google BigQuery](https://apiant.ai/connections/google-bigquery), your agent runs **Add Comment to Deal** in [Productive.io](https://apiant.ai/connections/productive-io), or **New time entry** in Productive.io 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 Productive.io **1** trigger Productive.io **34** 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 Productive.io 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 Productive.io can do together ### From Google BigQuery to Productive.io - When **New Job Completed** in Google BigQuery then **Add Comment to Deal** in Productive.io - When **New Row** in Google BigQuery then **Add comment to task** in Productive.io ### From Productive.io to Google BigQuery - When **New time entry** in Productive.io then **Create Row** in Google BigQuery - When **New time entry** in Productive.io 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 Productive.io ## Triggers and actions 5 triggers · 44 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 **New time entry** Triggers when a new time entry is tracked in Productive. - Action **Add Comment to Deal** Adds a comment to a deal in Productive. - Action **Add comment to task** Adds a comment to a task in Productive. - Action **Add expense** Creates a new expense in Productive, optionally allocated to a budget service. - Action **Add invoice** Creates a new invoice for a client company in Productive. - Action **Add time entry** Creates a time entry in Productive, logging minutes a person worked on a service (and optionally a task) on a given date. - Action **Create Booking** Creates a booking that schedules a person's time on a service or an absence event over a date range in Productive. - Action **Create Company** Creates a new company (client) in Productive with its billing, invoicing and contact details. - Action **Create Contact** Creates a contact (person) in Productive, linked to a client company. - Action **Create Deal** Creates a new deal in Productive with a name, owner, deal type and date, plus optional value, company, contact and other deal details. - Action **Create Project** Creates a new project in Productive with a name, type, project manager and workflow, optionally linked to a client company. - Action **Create Service** Creates a service (a billable line of work) on a Productive deal or budget. - Action **Create Task** Creates a task in a Productive project task list, with optional assignee, dates, estimates, tags and recurrence. - Action **Create Task List** Creates a task list inside a project folder in Productive. - Action **Delete task** Permanently deletes a task in Productive. - Action **Find Company** Finds companies in Productive by name or company code and returns the matches. - Action **Find Contact** Finds contacts (client people) in Productive by search text, email or company, returning the matches and the first one. - Action **Find Deal** Finds deals in Productive by name, number or company and returns the matches. - Action **Find invoices by criteria** Returns invoices matching an invoice number and/or company, with the first match and a count. - Action **Find projects by criteria** Finds projects matching a name, client company, project manager or status, returning the matches and the first one. - Action **Find Task** Finds tasks matching a title, number, search text, project, task list, assignee or status, and returns the first match plus the full list. - Action **Find time entries by criteria** Returns time entries matching the criteria you give, such as person, service, task or date range. - Action **Find User** Finds users (team members) in your Productive organization by name or email and returns the matches. - Action **Get Booking** Returns a single booking (resource-planning allocation of a person to a service or event) by its ID, including dates, hours and custom fields. - Action **Get Comment** Returns a single comment by its ID, including its body, timestamps and the task, deal or other record it was posted on. - Action **Get Expense** Returns a single expense by its ID, including amounts, dates, approval status, custom fields and related records. - Action **Get Service** Returns a single service (a budget or deal line item) by its ID, including its attributes and custom field values. - Action **Get Task List** Returns a single task list by its ID, including its name, position, archive status and its project, board and folder. - Action **Update booking** Updates an existing booking in Productive, such as its dates, booked time, note or assigned service. Fields left blank are not changed. - Action **Update company** Updates an existing company in Productive. Only the fields you fill in are changed. - Action **Update Contact** Updates an existing contact (person) in Productive. Only the fields you fill in are changed. - Action **Update Deal** Updates an existing deal or budget in Productive, changing only the fields you fill in. - Action **Update project** Updates an existing project in Productive. Only the values you fill in are changed. - Action **Update Task** Updates an existing task in Productive. Only the values you fill in are changed. - Action **Update time entry** Updates an existing time entry in Productive, changing only the fields you fill in. ## 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) - [ **Productive.io** Productive is a project management tool that includes everything you need to run a profitable agency.](https://apiant.ai/connections/productive-io) 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 Productive.io - [ **HubSpot to Productive.io** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-productive-io) - [ **Google Sheets to Productive.io** Google Sheets](https://apiant.ai/connect/google-sheets-to-productive-io) - [ **Gmail to Productive.io** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-productive-io) - [ **Google Calendar to Productive.io** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-productive-io) - [ **Google Drive to Productive.io** Google Drive is a cloud storage solution for uploading, sharing, and collaborating on files across devices...](https://apiant.ai/connect/google-drive-to-productive-io) - [ **Mailchimp to Productive.io** Mailchimp marketing automation and email platform.](https://apiant.ai/connect/mailchimp-to-productive-io) Questions ## Google BigQuery and Productive.io, 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 Productive.io when something happens in Google BigQuery? Any of Productive.io's 34 actions, including Create Booking, Create Company, Create Contact and Create Deal. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Productive.io to Google BigQuery? Yes. When something happens in Productive.io, your agent can act in Google BigQuery too. This page covers both directions: Productive.io's triggers and Google BigQuery's actions are listed here as well. ### ### Do I have to build a connector for Google BigQuery or Productive.io? 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 Productive.io 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.