Integration
Connect Google BigQuery to BigDataCloud
When New Job Completed fires in Google BigQuery, your agent runs Validate Email Address in BigDataCloud. 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 BigDataCloud 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 can start in BigDataCloud
When New Job Completed in Google BigQuery
then Validate Email Address in BigDataCloud
When New Row in Google BigQuery
then Parse user agent in BigDataCloud
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 BigDataCloud
Triggers and actions 4 triggers · 17 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.
Action
Get country infoReturns details about a country from its ISO code, including its names, languages, currency, calling code, flag and UN / World Bank region classifications.
Action
Get IP Geolocation DataReturns the estimated location of an IP address — country, region, city, postcode, coordinates and time zone — along with details of the network and carriers that serve it.
Action
Get Locality Info of Geo-CoordinatesReturns the country, state, city, locality, postcode and full administrative hierarchy for a latitude and longitude.
Action
Get time zone infoReturns the current details of a time zone, such as its UTC offset, daylight saving status and local time. Optionally converts a given moment to that zone's local time.
Action
Parse user agentParses a raw browser user-agent string into the browser, version, operating system and device type, and flags whether it looks like a bot or a mobile device.
Action
Validate Email AddressChecks an email address's syntax, whether its domain has a mail server, and whether it is a disposable or known-spammer address, and returns an overall validity verdict.
Action
Validate Phone NumberChecks whether a phone number is valid for a given country and returns it in standard international (E.164), international and national formats, along with its line type (mobile, landline, VoIP and so on), estimated location and country details.
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 BigDataCloud, 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 BigDataCloud when something happens in Google BigQuery?
Any of BigDataCloud's 7 actions, including Get country info, Get IP Geolocation Data, Get Locality Info of Geo-Coordinates and Get time zone info. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from BigDataCloud to Google BigQuery?
BigDataCloud has no triggers in the catalog today, so automations start in Google BigQuery. If you need the other direction, ask: your agent reads BigDataCloud's API documentation and adds it.
Do I have to build a connector for Google BigQuery or BigDataCloud?
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 BigDataCloud 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.