Integration
Connect Google BigQuery and Teach 'n Go
When New Job Completed fires in Google BigQuery, your agent runs Create Prospect in Teach 'n Go, or New Student in Teach 'n Go 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 Teach 'n Go to do together?
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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 Teach 'n Go can do together
From Google BigQuery to Teach 'n Go
When New Job Completed in Google BigQuery
then Create Prospect in Teach 'n Go
When New Row in Google BigQuery
then Create Student in Teach 'n Go
From Teach 'n Go to Google BigQuery
When New Student in Teach 'n Go
then Create Row in Google BigQuery
When New Student in Teach 'n Go
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 Teach 'n Go
Triggers and actions 5 triggers · 13 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
New StudentTriggers when a new student is added to your Teach 'n Go school.
Action
Create ProspectCreates a new prospect (lead) in your Teach 'n Go school's Prospects section.
Action
Create StudentCreates a new student in your Teach 'n Go school and optionally enrolls them in classes. If a student with the same email already exists, that student is enrolled in the given classes instead.
Action
List studentsReturns the students in your school with their classes, custom fields and related contacts, optionally filtered by id, active status or a search term.
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
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Questions
Google BigQuery and Teach 'n Go, 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 Teach 'n Go when something happens in Google BigQuery?
Any of Teach 'n Go's 3 actions, including Create Prospect, Create Student and List students. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Teach 'n Go to Google BigQuery?
Yes. When something happens in Teach 'n Go, your agent can act in Google BigQuery too. This page covers both directions: Teach 'n Go's triggers and Google BigQuery's actions are listed here as well.
Do I have to build a connector for Google BigQuery or Teach 'n Go?
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 Teach 'n Go 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.