Integration
Connect Google BigQuery and PostStack
When New Job Completed fires in Google BigQuery, your agent runs Add a contact in PostStack, or Contact Updated (instant) in PostStack to Create Row in Google BigQuery. Describe the whole flow and it is built, tested on every scenario and kept running.
What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.
Build solutions, not workarounds.
What do you want Google BigQuery and PostStack to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiOne 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.aiStart Claude Code there, approve the server, and sign in in the browser page it opens.
Claude Code guide (opens in a new tab)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)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)Zed
Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.
Setup guide (opens in a new tab)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)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)Example flows
What Google BigQuery and PostStack can do together
From Google BigQuery to PostStack
When New Job Completed in Google BigQuery
then Add a contact in PostStack
When New Row in Google BigQuery
then Add contacts to segment in PostStack
From PostStack to Google BigQuery
When Contact Updated (instant) in PostStack
then Create Row in Google BigQuery
When New Contact (instant) in PostStack
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 PostStack
Triggers and actions 11 triggers · 41 actions
Trigger
New Job CompletedTriggers when a BigQuery job in the project finishes, whether it succeeded or failed.
Trigger
New RowTriggers 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 RowTriggers when a row in a table is added or changed, detected by a last-updated timestamp column you name.
Action
Create RowCreates a new row of data in a table. Note: Does not create a job.
Action
Create RowsCreates new rows of data in a table (accepts line items). Note: Does not create a job.
Action
Delete RowsDeletes every row in a table whose match column equals the value you give.
Action
Find One RowFinds the first row in a table whose column equals the value you give.
Action
Get Rows for Job CompletedReturns the result rows of a finished query job.
Action
Import DataImports 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 DatasetsReturns the datasets in a Google Cloud project.
Action
List TablesReturns the tables in a BigQuery dataset.
Action
Run a QueryRuns 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
Contact Deleted (instant)Fires when a contact is deleted (event: contact.deleted).
Trigger
Contact Updated (instant)Fires when a contact is updated (event: contact.updated).
Trigger
Email Bounced (instant)Fires when an email bounces (event: email.bounced).
Trigger
Email Delivered (instant)Fires when an email is delivered (event: email.delivered).
Trigger
New Contact (instant)Fires when a contact is created (event: contact.created).
Trigger
New Inbound EmailPolls for newly received inbound emails.
Trigger
New Sent Email (instant)Fires when an email is sent (event: email.sent).
Action
Add a broadcastCreate a new marketing broadcast.
Action
Add a contactCreate a new contact.
Action
Add a segmentCreate a new manual contact segment.
Action
Add a templateCreate a new email template.
Action
Add contacts to segmentAdd contacts to an existing segment.
Action
Add suppressionAdd an address to the suppression list.
Action
Cancel broadcastCancel an in-flight broadcast.
Action
Cancel emailCancel a scheduled or queued email before it sends.
Action
Delete a contactDelete a contact.
Action
Delete a templateDelete an email template.
Action
Get a contactFetch one contact by ID.
Action
Get a templateFetch one email template by ID.
Action
Get broadcastRetrieve one broadcast by its public id, including the HTML and text bodies that the list endpoint omits.
Action
Get emailFetch one sent or queued email by ID.
Action
Get email eventsGet the delivery event timeline for one email.
Action
Get inbound emailFetch one received inbound email by ID.
Action
Import contactsBulk-import a CSV list of contacts.
Action
List broadcastsList marketing broadcasts.
Action
List contactsList contacts in the account.
Action
List emailsList sent, queued, and scheduled emails.
Action
List inbound emailsList emails received via inbound parsing.
Action
List segmentsList contact segments.
Action
List suppressed addressesList addresses on the suppression list.
Action
List templatesList email templates.
Action
Send an emailSend a transactional email through PostStack.
Action
Send broadcastStart sending a broadcast to its recipients.
Action
Send emails in batchSend up to 100 emails in a single request.
Action
Update a contactUpdate an existing contact's fields.
Action
Update a templateUpdate an email template, creating a new version.
Action
Update emailReschedule a queued email's send time.
Action
Validate email addressCheck whether an email address is valid and deliverable.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
Reviews
What our customers say
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Questions
Google BigQuery and PostStack, 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 PostStack when something happens in Google BigQuery?
Any of PostStack's 31 actions, including Send an email, Send broadcast, Send emails in batch and Update a contact. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from PostStack to Google BigQuery?
Yes. When something happens in PostStack, your agent can act in Google BigQuery too. This page covers both directions: PostStack's triggers and Google BigQuery's actions are listed here as well.
Do I have to build a connector for Google BigQuery or PostStack?
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 PostStack 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.