Integration
Connect Google BigQuery and timelink
When New Job Completed fires in Google BigQuery, your agent runs Create Client in timelink, or New Time Entry in timelink 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 timelink 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 Google BigQuery and timelink can do together
From Google BigQuery to timelink
When New Job Completed in Google BigQuery
then Create Client in timelink
When New Row in Google BigQuery
then Create Project in timelink
From timelink to Google BigQuery
When New Time Entry in timelink
then Create Row in Google BigQuery
When Updated Time Entry in timelink
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 timelink
Triggers and actions 7 triggers · 34 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
Deleted Time EntryTriggers when a time entry is deleted.
Trigger
New Time EntryTriggers when a new time entry is created.
Trigger
Updated Time EntryTriggers when a time entry is updated.
Action
Create ClientCreates a new client in timelink.
Action
Create ProjectCreates a new project in timelink, optionally assigned to a client.
Action
Create ServiceCreates a new service (a type of work you track time against) in timelink.
Action
Create Time EntryCreates a time entry for a user in timelink, optionally linked to a client, project and service.
Action
Delete clientDeletes a client in timelink.
Action
Delete projectDeletes a project in timelink.
Action
Delete serviceDeletes a service in timelink.
Action
Delete time entryDeletes a time entry from timelink.
Action
Find ClientFinds clients whose details match the search text, optionally filtered by active status or ids.
Action
Find ProjectSearches projects by name or other text and returns the matching projects, optionally narrowed to one client or to active/inactive projects.
Action
Find ServiceSearches your timelink services by text, for example part of the service name, and returns the matching services.
Action
Find Time EntrySearches time entries by text and optional filters such as date range, client, project, service, user and billing status, returning the matching entries.
Action
Get clientReturns a single client by its ID.
Action
Get projectReturns a single timelink project by its ID, including its client, color, acronym and active/billable flags.
Action
Get serviceReturns a single service (activity type) by its ID, including name, color, acronym and billable/active status.
Action
Get time entryReturns a single time entry by its ID, including its client, project, service, description, billing flags and start/end times.
Action
Get userReturns a single timelink user by ID, including name, email, active status, timezone and language.
Action
List clientsReturns the clients in your timelink account, optionally filtered by search text or active status.
Action
List servicesReturns the services (billable activities) in your timelink account, optionally filtered by text, active status or specific ids.
Action
List usersReturns the users in your timelink company, optionally filtered by search text, active status or specific user ids.
Action
Update ClientUpdates an existing client in timelink. Only the fields you fill in are changed.
Action
Update ProjectUpdates an existing project's name, client, color, billing and other details. Only the fields you fill in are changed.
Action
Update ServiceUpdates an existing service in timelink, such as its name, color, billable or active status.
Action
Update Time EntryUpdates an existing time entry in timelink, changing only the details you fill in, such as its times, description, client, project or service.
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 timelink, 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 timelink when something happens in Google BigQuery?
Any of timelink's 24 actions, including Create Client, Create Project, Create Service and Create Time Entry. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from timelink to Google BigQuery?
Yes. When something happens in timelink, your agent can act in Google BigQuery too. This page covers both directions: timelink's triggers and Google BigQuery's actions are listed here as well.
Do I have to build a connector for Google BigQuery or timelink?
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.