--- title: "Connect Google BigQuery to Ashby - APIANT.ai" description: "When \"New Job Completed\" fires in Google BigQuery, your agent runs \"Add job\" in Ashby." canonical: "https://apiant.ai/connect/google-bigquery-to-ashby" --- # Connect Google BigQuery to Ashby When **New Job Completed** fires in [Google BigQuery](https://apiant.ai/connections/google-bigquery), your agent runs **Add job** in [Ashby](https://apiant.ai/connections/ashby). Describe the whole flow and it is built, tested on every scenario and kept running. Google BigQuery **4** triggers Google BigQuery **10** actions Ashby **17** 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 Ashby 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 Ashby - When **New Job Completed** in Google BigQuery then **Add job** in Ashby - When **New Row** in Google BigQuery then **Create Candidate Note** in Ashby 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 Ashby ## Triggers and actions 4 triggers · 27 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 candidate tag** Adds an existing tag to a candidate in Ashby and returns the updated candidate. - Action **Add job** Creates a new job in Ashby with a title, department/team and location, optionally applying a job template, interview plan, employment type and brand. - Action **Add offer** Creates an offer for a candidate's application in Ashby by submitting the offer form for an offer process that has already been started. - Action **Change Job Consideration Stage** Moves a candidate's application (their consideration for a job) to a different interview stage, optionally with an archive reason and rejection email when archiving. - Action **Consider Candidate for Job** Considers a candidate for a job in Ashby by creating a new application, optionally placing it in a specific interview plan and stage with a source and credited user. - Action **Create Candidate** Creates a new candidate in Ashby with their name, contact details, social profiles, location and source. - Action **Create Candidate Note** Adds a note to a candidate's profile in Ashby, optionally as HTML, private, or with notifications to subscribed users. - Action **Find Candidate** Returns up to 100 candidates whose email address and/or name match the values you supply. - Action **Find Job** Returns up to 100 jobs whose title or requisition ID matches the text you search for. - Action **Find Job Consideration** Returns the applications (candidates being considered) for a job in Ashby, optionally narrowed by application status and creation date. - Action **Find Opening** Returns the openings whose identifier matches the one you supply, including each opening's state, jobs, locations, hiring team and custom fields. - Action **Get candidate** Returns the full details of a single Ashby candidate, including contact info, tags, applications, files and custom field values. - Action **List departments** Returns all departments and teams in your Ashby account, optionally including archived ones or only those changed since a previous sync. - Action **List locations** Returns the office and remote locations set up in your Ashby account, optionally including archived locations and regions. - Action **Update Candidate** Updates an existing candidate's name, contact details, social links, source, credited user and location in Ashby. Fields left blank are not changed. - Action **Update job** Updates an existing job in Ashby — its title, team, location, default interview plan, employment type or requisition id. - Action **Update Opening** Updates an existing opening in Ashby, such as its identifier, description, department, target dates, backfill flag or employment type. Returns the updated opening. ## 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) - [ **Ashby** Ashby's all-in-one recruiting software consolidates your ATS, Analytics, Scheduling, and CRM.](https://apiant.ai/connections/ashby) 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 Ashby - [ **HubSpot to Ashby** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-ashby) - [ **Salesforce to Ashby** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-ashby) - [ **Slack to Ashby** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-ashby) - [ **Google Sheets to Ashby** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-ashby) - [ **Gmail to Ashby** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-ashby) - [ **Google Calendar to Ashby** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-ashby) Questions ## Google BigQuery and Ashby, 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 Ashby when something happens in Google BigQuery? Any of Ashby's 17 actions, including Create Candidate, Create Candidate Note, Update Candidate and Update job. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Ashby to Google BigQuery? Ashby has no triggers in the catalog today, so automations start in Google BigQuery. If you need the other direction, ask: your agent reads Ashby's API documentation and adds it. ### ### Do I have to build a connector for Google BigQuery or Ashby? 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 Ashby 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.