Integration
Connect Amberscript and Google BigQuery
When Job Finished fires in Amberscript, your agent runs Get Rows for Job Completed in Google BigQuery, or New Job Completed in Google BigQuery to Create New Job in Amberscript. 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 Amberscript and Google BigQuery to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiAny 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 Amberscript and Google BigQuery can do together
From Amberscript to Google BigQuery
When Job Finished in Amberscript
then Get Rows for Job Completed in Google BigQuery
When Job Finished in Amberscript
then Create Row in Google BigQuery
From Google BigQuery to Amberscript
When New Job Completed in Google BigQuery
then Create New Job in Amberscript
When New Row in Google BigQuery
then Add glossary in Amberscript
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 Amberscript and Google BigQuery
Triggers and actions 5 triggers · 19 actions
Trigger
Job FinishedTriggers when a job has finished on our platform.
Action
Add glossaryCreate a new glossary of terms that can be referenced by glossaryId on job upload for improved transcription accuracy.
Action
Create New JobThis action creates a new job on the Amberscript platform.
Action
Delete glossaryDelete an existing glossary.
Action
Delete jobDelete a transcription job.
Action
Get jobRetrieve the status/details of a transcription job.
Action
Get job transcriptDownload a finished job's transcript/subtitles in a chosen export format.
Action
List glossariesList all glossaries defined on the account (used to supply glossaryId when uploading a job).
Action
List jobsList all transcription jobs for the account.
Action
Update glossaryUpdate an existing glossary's terms.
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.
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
Amberscript and Google BigQuery, answered
What can start an automation from Amberscript?
Any of Amberscript's 1 trigger in the catalog, including Job Finished. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Google BigQuery when something happens in Amberscript?
Any of Google BigQuery's 10 actions, including Create Row, Create Rows, Get Rows for Job Completed and Update Row(s). Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Google BigQuery to Amberscript?
Yes. When something happens in Google BigQuery, your agent can act in Amberscript too. This page covers both directions: Google BigQuery's triggers and Amberscript's actions are listed here as well.
Do I have to build a connector for Amberscript or Google BigQuery?
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.
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.