Integration
Connect Chaport and Google BigQuery
When Chat Stage Updated (instant) fires in Chaport, your agent runs Create Row in Google BigQuery, or New Job Completed in Google BigQuery to Send a Message in Chaport. 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 Chaport and Google BigQuery to do together?
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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 Chaport and Google BigQuery can do together
From Chaport to Google BigQuery
When Chat Stage Updated (instant) in Chaport
then Create Row in Google BigQuery
When New Chat Started in Chaport
then Create Rows in Google BigQuery
From Google BigQuery to Chaport
When New Job Completed in Google BigQuery
then Send a Message in Chaport
When New Row in Google BigQuery
then Create an Operator in Chaport
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 Chaport and Google BigQuery
Triggers and actions 12 triggers · 22 actions
Trigger
Chat Closed (instant)Fires when a chat is closed. Webhook event: chat.closed.
Trigger
Chat FinishedTriggers when chat is finished.
Trigger
Chat Stage Updated (instant)Fires when a chat's stage changes. Webhook event: chat.stageUpdated.
Trigger
Message Read (instant)Fires when a message is read. Webhook event: message.read.
Trigger
New Chat StartedTriggers when chat is started.
Trigger
New Message Sent (instant)Fires when a new message is sent in a chat. Webhook event: message.sent.
Trigger
New Visitor (instant)Fires when a new visitor is created. Webhook event: visitor.created.
Trigger
Visitor UpdatedTriggers when visitor data is updated.
Action
Create an OperatorAdds a new operator to your Chaport account and returns the created operator.
Action
Delete a MessageDeletes one message from a Chaport chat. Identify the visitor and the message you want removed.
Action
Delete an OperatorRemoves an operator from your Chaport account.
Action
List OperatorsReturns every operator in your Chaport account, with each operator's name, email, role and status.
Action
List VisitorsReturns the visitors in your Chaport account, one page at a time.
Action
Retrieve an OperatorReturns one Chaport operator with their name, email, role, job title and current status.
Action
Retrieve a VisitorReturns one Chaport visitor with their name, contact details, notes and any custom data held about them.
Action
Retrieve Last Visitor ChatReturns a visitor's most recent Chaport chat, including its stage, operators and — when asked for — the transcript.
Action
Send a MessagePosts a message into a Chaport visitor's chat, starting a chat if there isn't one open.
Action
Update an OperatorUpdates a Chaport operator's details. Anything you leave blank keeps its current value.
Action
Update a VisitorUpdates an existing Chaport visitor's contact details, notes and custom data. Only the fields you fill in are changed; blank fields are left untouched.
Action
Update Operator StatusSets a Chaport operator's availability status, such as online or offline, optionally for a limited time.
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
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Questions
Chaport and Google BigQuery, answered
What can start an automation from Chaport?
Any of Chaport's 8 triggers in the catalog, including Chat Stage Updated (instant), New Chat Started, New Message Sent (instant) and New Visitor (instant). 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 Chaport?
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 Chaport?
Yes. When something happens in Google BigQuery, your agent can act in Chaport too. This page covers both directions: Google BigQuery's triggers and Chaport's actions are listed here as well.
Do I have to build a connector for Chaport 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.