Integration
Connect GoHighLevel and Google BigQuery
When New or updated contact fires in GoHighLevel, your agent runs Create Row in Google BigQuery, or New Job Completed in Google BigQuery to Create task in GoHighLevel. 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 GoHighLevel and Google BigQuery 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 GoHighLevel and Google BigQuery can do together
From GoHighLevel to Google BigQuery
When New or updated contact in GoHighLevel
then Create Row in Google BigQuery
From Google BigQuery to GoHighLevel
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 GoHighLevel and Google BigQuery
Triggers and actions 5 triggers · 39 actions
- New or updated contact
Triggered when a contact is created or updated in your HighLevel sub-account.
- Create appointment
Book a new calendar appointment.
- Create note
Add a note to a contact.
- Create opportunity
Creates a new opportunity for a contact in a pipeline. Unlike Upsert opportunity it never updates an existing one; whether HighLevel allows a second opportunity for the same contact in the same pipeline depends on the sub-account's duplicate-opportunity setting.
- Create task
Create a task on a contact.
- Delete appointment
Cancel/delete a calendar event or appointment.
- Delete contact
Delete a contact.
- Delete note
Delete a note from a contact.
- Delete task
Delete a task from a contact.
- Find contacts
Search contacts by name, email, phone, or other criteria.
- Find conversations
Search conversations by contact or other criteria.
- Find opportunities
Search opportunities by pipeline, stage, contact, or other criteria.
- Get appointment
Retrieve a single calendar appointment by ID.
- Get calendar
Retrieve a single calendar's configuration by ID.
- Get contact
Retrieve a single contact by ID.
- Get conversation
Retrieve a single conversation by ID.
- Get note
Retrieve a single note on a contact.
- Get opportunity
Retrieve a single opportunity by ID.
- List calendar events
List calendar events within a date range.
- List calendars
List all calendars for the location.
- List notes
List all notes on a contact.
- List tasks
List all tasks on a contact.
- Remove tags from contact
Remove one or more tags from a contact.
- Send a message
Send an SMS, email, or other conversation message to a contact.
- Update appointment
Update an existing calendar appointment.
- Update contact
Update an existing contact's fields.
- Update note
Update an existing note on a contact.
- Update task
Update an existing task on a contact.
- Upsert contact
Create a contact or update it if a matching contact already exists.
- Upsert opportunity
Create an opportunity or update it if a matching one already exists.
- New Job Completed
Triggers when a BigQuery job in the project finishes, whether it succeeded or failed.
- New Row
Triggers 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.
- Query Job Completed (With Row Data)
Triggers when a SELECT query job in the project finishes successfully, and includes its result rows.
- Updated Row
Triggers when a row in a table is added or changed, detected by a last-updated timestamp column you name.
- Create Row
Creates a new row of data in a table. Note: Does not create a job.
- Create Rows
Creates new rows of data in a table (accepts line items). Note: Does not create a job.
- Delete Rows
Deletes every row in a table whose match column equals the value you give.
- Find One Row
Finds the first row in a table whose column equals the value you give.
- Get Rows for Job Completed
Returns the result rows of a finished query job.
- Import Data
Imports 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.
- List Datasets
Returns the datasets in a Google Cloud project.
- List Tables
Returns the tables in a BigQuery dataset.
- Run a Query
Runs a SQL query against a table in BigQuery.
- 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
GoHighLevel and Google BigQuery, answered
What can start an automation from GoHighLevel?
Any of GoHighLevel's 1 trigger in the catalog, including New or updated contact. 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 GoHighLevel?
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 GoHighLevel?
Yes. When something happens in Google BigQuery, your agent can act in GoHighLevel too. This page covers both directions: Google BigQuery's triggers and GoHighLevel's actions are listed here as well.
Do I have to build a connector for GoHighLevel 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.
Can my AI client use GoHighLevel and Google BigQuery 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.