Integration
Connect Clockify and Databox
When New Client fires in Clockify, your agent runs Create Dataset in Databox, or New Dataset in Databox to Create Task in Clockify. 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 Clockify and Databox 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 Clockify and Databox can do together
From Clockify to Databox
When New Client in Clockify
then Create Dataset in Databox
When New Project in Clockify
then Ingest Data into Dataset in Databox
From Databox to Clockify
When New Dataset in Databox
then Create Task in Clockify
When New Dataset in Databox
then Create Client in Clockify
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 Clockify and Databox
Triggers and actions 8 triggers ยท 35 actions
Trigger
New ClientTriggers when a new client is added to a workspace.
Trigger
New ProjectTriggers when a new project is added to a workspace.
Trigger
New TagTriggers when a new tag is added to a workspace.
Trigger
New TaskTriggers when a new task is added to a project on a specified workspace.
Trigger
New Time EntryTriggers when a new time entry is added.
Trigger
New Timer StartedTriggers when a new entry is started and running.
Trigger
New WorkspaceTriggers when a new workspace is created.
Action
Create ClientCreates a client on a specified workspace.
Action
Create ProjectCreates a project on a specified workspace.
Action
Create TagCreates a tag on a specified workspace.
Action
Create TaskCreates a task on a specified project.
Action
Create Time EntryCreates a new time entry on a specified workspace.
Action
Delete ClientDelete a client from a workspace.
Action
Delete ProjectDelete a project from a workspace.
Action
Delete TagDelete a tag from a workspace.
Action
Delete TaskDelete a task from a project.
Action
Delete Time EntryDelete a time entry from a workspace.
Action
Find ClientFinds a client by name on a specified workspace.
Action
Find ProjectFinds a project by name on a specified workspace.
Action
Find Running TimerFinds a currently running time entry on a specified workspace.
Action
Find TagFinds a tag on a specified workspace.
Action
Find TaskFinds a task by name on a specified project and workspace.
Action
Find Time EntryFinds a time entry by description, start datetime or end datetime.
Action
List WorkspacesList all workspaces the authenticated user belongs to.
Action
Start TimerStarts a new time entry.
Action
Stop TimerStops currently running time entry on a specified workspace.
Action
Update ClientUpdate a client's name/note/archived status.
Action
Update ProjectUpdate a project's name/color/client/billable status/dates.
Action
Update TagUpdate a tag's name/archived status on a workspace.
Action
Update TaskUpdate a task's name/status/assignee/estimate on a project.
Action
Update Time EntryUpdate a time entry's start/end/description/project/task/billable/tags on a workspace.
Trigger
New DatasetTriggers when a new dataset is created in your Databox organization.
Action
Create DatasetCreates a dataset with the given columns inside a Databox data source.
Action
Delete DatasetPermanently deletes a Databox dataset and all its data.
Action
Delete Data SourcePermanently deletes a Databox data source and every dataset in it.
Action
Get DatasetReturns the details of one Databox dataset.
Action
Get Dataset IngestionReturns the details of one data ingestion into a Databox dataset, including its status, duration, record counts and any errors.
Action
Get Metric DataReturns a Databox metric's values for a date range at the chosen granularity.
Action
Ingest Data into DatasetAdds a batch of up to 100 records to a Databox dataset.
Action
List DashboardsLists the dashboards in your Databox organization.
Action
List DatasetsLists Databox datasets, optionally filtered by data source or name.
Action
List Data SourcesLists the data sources in your Databox organization.
Action
Purge DatasetRemoves all rows from a Databox dataset while keeping the dataset itself.
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
What our customers say
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Questions
Clockify and Databox, answered
What can start an automation from Clockify?
Any of Clockify's 7 triggers in the catalog, including New Client, New Project, New Tag and New Task. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Databox when something happens in Clockify?
Any of Databox's 11 actions, including Create Dataset, Get Dataset, Get Dataset Ingestion and Get Metric Data. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Databox to Clockify?
Yes. When something happens in Databox, your agent can act in Clockify too. This page covers both directions: Databox's triggers and Clockify's actions are listed here as well.
Do I have to build a connector for Clockify or Databox?
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 Clockify and Databox 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.