Integration
Connect Google BigQuery and Harvest
When New Job Completed fires in Google BigQuery, your agent runs Create Contact in Harvest, or New Client in Harvest 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 Harvest 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 Harvest can do together
From Google BigQuery to Harvest
When New Job Completed in Google BigQuery
then Create Contact in Harvest
When New Row in Google BigQuery
then Create Task in Harvest
From Harvest to Google BigQuery
When New Client in Harvest
then Create Row in Google BigQuery
When New Contact in Harvest
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 Harvest
Triggers and actions 20 triggers · 22 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
Invoice PaidTriggers when an invoice is fully paid.
Trigger
Invoice SentTriggers when an invoice is sent or marked as sent.
Trigger
New ClientTriggers when a new client is added.
Trigger
New ContactTriggers when new contact is added.
Trigger
New ExpenseTriggers when a new expense is added.
Trigger
New InvoiceTriggers when an invoice is created.
Trigger
New ProjectTriggers when a project is created.
Trigger
New TaskTriggers when a new task is added.
Trigger
New Time EntryTriggers when a time entry is created.
Trigger
New UserTriggers when a new User is added.
Trigger
New User AssignmentTriggers when a user is assigned to a project.
Trigger
Timer StartedTriggers when a timer is started.
Trigger
Timer StoppedTriggers when a timer is stopped.
Trigger
Updated ClientTriggers when a client is updated.
Trigger
Updated InvoiceTriggers when an invoice is updated.
Trigger
Updated Time EntryTriggers when a time entry is updated.
Action
Create ClientCreates a Client
Action
Create ContactCreates a Contact
Action
Create ProjectCreates a Project
Action
Create TaskCreates a Task and optionally assigns it to a project
Action
Create Time EntryCreates a Time Entry with duration
Action
Create Time Entry (Start & End Times)Creates a Time Entry with start and end times
Action
Find ClientFinds a client by name or ID
Action
Find InvoiceFinds an invoice by ID
Action
Find ProjectFinds a project by name
Action
Find TaskFinds a task by name
Action
Start TimerCreates and starts a timer for a given date
Action
Stop TimerStops any running timers
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 Harvest, 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 Harvest when something happens in Google BigQuery?
Any of Harvest's 12 actions, including Create Client, Create Contact, Create Project and Create Task. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Harvest to Google BigQuery?
Yes. When something happens in Harvest, your agent can act in Google BigQuery too. This page covers both directions: Harvest's triggers and Google BigQuery's actions are listed here as well.
Do I have to build a connector for Google BigQuery or Harvest?
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 Harvest 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.