Integration
Connect Agiled and Google BigQuery
When Invoice Created fires in Agiled, your agent runs Create Row in Google BigQuery, or New Job Completed in Google BigQuery to Add Invoice in Agiled. 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 Agiled 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 Agiled and Google BigQuery can do together
From Agiled to Google BigQuery
When Invoice Created in Agiled
then Create Row in Google BigQuery
When New CRM Stage in Agiled
then Create Rows in Google BigQuery
From Google BigQuery to Agiled
When New Job Completed in Google BigQuery
then Add Invoice in Agiled
When New Row in Google BigQuery
then Create Contact in Agiled
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 Agiled and Google BigQuery
Triggers and actions 10 triggers · 41 actions
Trigger
Invoice CreatedTriggers when an invoice is created in Agiled.
Trigger
New CRM StageTriggers when a new deal pipeline stage is added to any CRM pipeline in Agiled.
Trigger
Product CreatedTriggers when a product is created in Agiled.
Trigger
Project CreatedTriggers when a new project is created in Agiled.
Trigger
Task CreatedTriggers when a new task is created in Agiled.
Trigger
Ticket CreatedTriggers when a ticket is created in Agiled.
Action
Add InvoiceCreates an invoice in Agiled.
Action
Add ProductCreates a product in Agiled's catalog.
Action
Add ProjectCreates a project in Agiled.
Action
Create ContactCreates a contact in Agiled CRM with a name, email and phone number.
Action
Create EstimateCreates a new estimate (quote) in Agiled.
Action
Create ExpenseCreates an expense in Agiled.
Action
Create TaskCreates a task in Agiled.
Action
Create TicketCreates a support ticket in Agiled.
Action
Delete ContactDeletes a contact from Agiled by its id.
Action
Delete ContractDeletes a contract (an Agiled document) by its id.
Action
Delete EstimateDeletes an estimate in Agiled by its id.
Action
Delete ExpenseDeletes an expense from Agiled by its id.
Action
Delete ProductDeletes a product from your Agiled catalog by its id.
Action
Delete ProjectDeletes a project in Agiled by its id.
Action
Delete TaskDeletes a task in Agiled by its id.
Action
Delete TicketDeletes a support ticket in Agiled by its id.
Action
Edit ContactUpdates an existing contact's name, email or phone in Agiled.
Action
Edit ContractUpdates an existing contract document in Agiled, such as renaming it.
Action
Edit EstimateUpdates an existing estimate in Agiled, such as its name.
Action
Edit ExpenseUpdates an existing expense in Agiled.
Action
Edit InvoiceUpdates an existing invoice in Agiled.
Action
Edit ProductUpdates an existing product's name, SKU or price in Agiled.
Action
Edit ProjectUpdates an existing project's name, status or dates in Agiled.
Action
Edit TaskUpdates an existing task's name, status or due date.
Action
Edit TicketUpdates an existing ticket in Agiled. Only the fields you fill in are changed.
Action
Get ContactsReturns contacts from your Agiled CRM, optionally filtered by email or full name.
Action
Get ContractReturns one contract document by its id.
Action
Get EstimateReturns one estimate by its id, with optional related records.
Action
Get ProductReturns one product by its id.
Action
Get ProjectsReturns projects in your Agiled workspace, optionally filtered by name or status.
Action
Get TicketReturns one support ticket by its id, with optional related records.
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
Agiled and Google BigQuery, answered
What can start an automation from Agiled?
Any of Agiled's 6 triggers in the catalog, including Invoice Created, New CRM Stage, Product Created and Project Created. 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 Agiled?
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 Agiled?
Yes. When something happens in Google BigQuery, your agent can act in Agiled too. This page covers both directions: Google BigQuery's triggers and Agiled's actions are listed here as well.
Do I have to build a connector for Agiled 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 Agiled 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.