--- title: "Connect Google BigQuery to Typefully - APIANT.ai" description: "When \"New Job Completed\" fires in Google BigQuery, your agent runs \"Add tag\" in Typefully." canonical: "https://apiant.ai/connect/google-bigquery-to-typefully" --- # Connect Google BigQuery to Typefully When **New Job Completed** fires in [Google BigQuery](https://apiant.ai/connections/google-bigquery), your agent runs **Add tag** in [Typefully](https://apiant.ai/connections/typefully). Describe the whole flow and it is built, tested on every scenario and kept running. Google BigQuery **4** triggers Google BigQuery **10** actions Typefully **13** 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 Typefully 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 Typefully - When **New Job Completed** in Google BigQuery then **Add tag** in Typefully - When **New Row** in Google BigQuery then **Create Draft Simple** in Typefully 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 Typefully ## Triggers and actions 4 triggers · 23 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 tag** Creates a new tag in a Typefully social set. - Action **Create Draft Simple** Creates a Typefully draft from a single piece of text, posted to the social platforms you choose. Optionally schedules, plans or publishes it. - Action **Delete draft** Deletes a Typefully draft in any status from a social set. - Action **Get draft** Returns a Typefully draft with its content for every configured platform, status, scheduling and published URLs. - Action **Get queue** Returns the queue for a Typefully social set between two dates: each day's queue slots and the scheduled or planned drafts occupying them. - Action **Get social set** Returns the details of a Typefully social set, including every connected platform account (X, LinkedIn, Mastodon, Threads, Bluesky, Substack) and its publishing quota. - Action **List drafts** Returns the drafts in a Typefully social set, optionally filtered by status or tag and sorted. - Action **List social sets** Returns every social set (connected social account) you can access, including those owned by teams you belong to. - Action **List tags** Returns the tags defined for a Typefully social set, ordered by slug. - Action **Publish Draft Now** Publishes an existing Typefully draft immediately to its enabled social platforms. Publishing runs in the background, so the returned draft shows its publish progress. - Action **Schedule Draft** Schedules a Typefully draft to publish at a date and time you choose. A planned draft is confirmed into a real schedule. - Action **Schedule Draft in Next Free Slot** Schedules a Typefully draft into the next free slot in its social set's posting queue. - Action **Update draft** Updates an existing Typefully draft: its post content per platform, title, notes, tags, sharing, and schedule or plan date. Only the values you fill in are changed. ## 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) - [ **Typefully** Typefully is a social media scheduling app for creators and teams that write content for X, LinkedIn...](https://apiant.ai/connections/typefully) 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 Typefully - [ **HubSpot to Typefully** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-typefully) - [ **Salesforce to Typefully** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-typefully) - [ **Slack to Typefully** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-typefully) - [ **Google Sheets to Typefully** Google Sheets](https://apiant.ai/connect/google-sheets-to-typefully) - [ **Gmail to Typefully** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-typefully) - [ **Google Calendar to Typefully** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-typefully) Questions ## Google BigQuery and Typefully, 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 Typefully when something happens in Google BigQuery? Any of Typefully's 13 actions, including Create Draft Simple, Update draft, Add tag and Get draft. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Typefully to Google BigQuery? Typefully has no triggers in the catalog today, so automations start in Google BigQuery. If you need the other direction, ask: your agent reads Typefully's API documentation and adds it. ### ### Do I have to build a connector for Google BigQuery or Typefully? 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 Typefully 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.