Integration
Connect Google BigQuery and Hume AI
When New Job Completed fires in Google BigQuery, your agent runs Add config in Hume AI, or New Voice in Hume AI 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 Hume AI 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 Hume AI can do together
From Google BigQuery to Hume AI
When New Job Completed in Google BigQuery
then Add config in Hume AI
When New Row in Google BigQuery
then Add prompt in Hume AI
From Hume AI to Google BigQuery
When New Voice in Hume AI
then Create Row in Google BigQuery
When Chat ended (instant) in Hume AI
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 Hume AI
Triggers and actions 8 triggers · 23 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
Chat ended (instant)Fires when an EVI chat session ends (chat_ended webhook event).
Trigger
Chat started (instant)Fires when a new EVI chat session begins (chat_started webhook event).
Trigger
New VoiceTriggers when a new voice is created.
Trigger
Tool call (instant)Fires when EVI calls a registered tool during a conversation (tool_call webhook event).
Action
Add configCreate a new EVI configuration (voice assistant setup).
Action
Add promptCreate a new system prompt for use in an EVI configuration.
Action
Add toolCreate a new tool definition that EVI can call during a conversation.
Action
Add voiceSave a new custom voice to the account from a TTS generation ID, for reuse in later speech requests.
Action
Convert voiceConvert the speech in an uploaded audio file into a different saved voice.
Action
Delete configDelete an EVI configuration from the account.
Action
Delete voiceDelete a saved custom voice from the account.
Action
Generate Text to SpeechConvert text to speech using Hume AI's expressive text-to-speech technology.
Action
List configsList the EVI configurations saved to the account.
Action
List promptsList the prompts saved to the account.
Action
List toolsList the tool definitions saved to the account.
Action
List voicesList the custom voices saved to the account.
Action
Update configUpdate an EVI configuration's name or description.
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
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Questions
Google BigQuery and Hume AI, 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 Hume AI when something happens in Google BigQuery?
Any of Hume AI's 13 actions, including Update config, Add config, Add prompt and Add tool. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Hume AI to Google BigQuery?
Yes. When something happens in Hume AI, your agent can act in Google BigQuery too. This page covers both directions: Hume AI's triggers and Google BigQuery's actions are listed here as well.
Do I have to build a connector for Google BigQuery or Hume AI?
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 Hume AI 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.