Integration
Connect Finolog and Google BigQuery
When New Account fires in Finolog, your agent runs Create Row in Google BigQuery, or New Job Completed in Google BigQuery to Add order in Finolog. 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 Finolog 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 Finolog and Google BigQuery can do together
From Finolog to Google BigQuery
When New Account in Finolog
then Create Row in Google BigQuery
When New Category in Finolog
then Create Rows in Google BigQuery
From Google BigQuery to Finolog
When New Job Completed in Google BigQuery
then Add order in Finolog
When New Row in Google BigQuery
then Add comment in Finolog
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 Finolog and Google BigQuery
Triggers and actions 11 triggers · 41 actions
Trigger
New AccountTriggers when a new account is created.
Trigger
New CategoryTriggers when a new category is created.
Trigger
New CompanyTriggers when new company was created.
Trigger
New ContractorTriggers when new contractor is created.
Trigger
New ProjectTriggers when a new project is created.
Trigger
New RequisiteTriggers when a new requisite is created.
Trigger
New TransactionTriggers when a new transaction is created.
Action
Add comment/v1/biz/{biz_id}/comment - add a comment to an entity
Action
Add order/v1/biz/{biz_id}/orders/order
Action
Add project/v1/biz/{biz_id}/project
Action
Add requisite/v1/biz/{biz_id}/requisite
Action
Create AccountCreates an Account
Action
Create CategoryCreates a Category
Action
Create CompanyCreates a Company
Action
Create ContractorCreates a Contractor
Action
Create TransactionCreates a Transaction
Action
Delete account/v1/biz/{biz_id}/account/{id}
Action
Delete contractor/v1/biz/{biz_id}/contractor/{id}
Action
Delete transaction/v1/biz/{biz_id}/transaction/{id}
Action
Find Contractor by QueryFInd contractor by name or his requisites
Action
Find Contractor RequisitesFinds a Requisites that blongs to a Contractor
Action
Find Transaction by QueryFind transaction by contractor name, account name, details or sum
Action
Get account/v1/biz/{biz_id}/account/{id}
Action
Get contractor/v1/biz/{biz_id}/contractor/{id}
Action
Get transaction/v1/biz/{biz_id}/transaction/{id}
Action
List accounts/v1/biz/{biz_id}/account
Action
List businesses/v1/biz
Action
List categories/v1/biz/{biz_id}/category
Action
List commentsLists the comments on a record.
Action
List companies/v1/biz/{biz_id}/company
Action
List orders/v1/biz/{biz_id}/orders/order
Action
List projects/v1/biz/{biz_id}/project
Action
Update account/v1/biz/{biz_id}/account/{id}
Action
Update category/v1/biz/{biz_id}/category/{id}
Action
Update company/v1/biz/{biz_id}/company/{id}
Action
Update contractor/v1/biz/{biz_id}/contractor/{id}
Action
Update project/v1/biz/{biz_id}/project/{id}
Action
Update transaction/v1/biz/{biz_id}/transaction/{id}
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
Reviews
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Questions
Finolog and Google BigQuery, answered
What can start an automation from Finolog?
Any of Finolog's 7 triggers in the catalog, including New Account, New Category, New Company and New Contractor. 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 Finolog?
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 Finolog?
Yes. When something happens in Google BigQuery, your agent can act in Finolog too. This page covers both directions: Google BigQuery's triggers and Finolog's actions are listed here as well.
Do I have to build a connector for Finolog 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 Finolog 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.