Integration
Connect Databox and Timely Time Tracking
When New Dataset fires in Databox, your agent runs Create Task in Timely Time Tracking, or New Client in Timely Time Tracking to Create Dataset in Databox. 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 Databox and Timely Time Tracking 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 Databox and Timely Time Tracking can do together
From Databox to Timely Time Tracking
When New Dataset in Databox
then Create Task in Timely Time Tracking
From Timely Time Tracking to Databox
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 Databox and Timely Time Tracking
Triggers and actions 9 triggers · 30 actions
- New Dataset
Triggers when a new dataset is created in your Databox organization.
- Create Dataset
Creates a dataset with the given columns inside a Databox data source.
- Delete Dataset
Permanently deletes a Databox dataset and all its data.
- Delete Data Source
Permanently deletes a Databox data source and every dataset in it.
- Get Dataset
Returns the details of one Databox dataset.
- Get Dataset Ingestion
Returns the details of one data ingestion into a Databox dataset, including its status, duration, record counts and any errors.
- Get Metric Data
Returns a Databox metric's values for a date range at the chosen granularity.
- Ingest Data into Dataset
Adds a batch of up to 100 records to a Databox dataset.
- List Dashboards
Lists the dashboards in your Databox organization.
- List Datasets
Lists Databox datasets, optionally filtered by data source or name.
- List Data Sources
Lists the data sources in your Databox organization.
- Purge Dataset
Removes all rows from a Databox dataset while keeping the dataset itself.
- New Client
Triggered when a new client is created
- New or Updated Person
Triggered when a person is created or updated in Timely
- New or Updated Project
Triggers when a project is created or updated.
- New or Updated Time Entry
Triggers when time entries are created or updated.
- New Project
Triggered when a new project is created
- New Time Entry
Triggered when a new time entry is created
- New Workspace
Triggers when a workspace is created.
- Project Updated (Only Admin Users)
Triggers when any project is updated in Timely. Fires for ALL project changes (name, budget, rate, archive, labels, users, etc. Can only be used by Timely Admin users. WARNING: avoid chaining this trigger to actions that write back to the same project (e. g. via "Update Project Name") in the source system without a guard — that can create an infinite update loop.
- Add tag
Create a tag.
- Create Client
Creates a Client
- Create Person
Creates a new person in the workspace.
- Create Project
Creates a project.
- Create Task
Creates a task.
- Delete project
Delete a project.
- Delete time entry
Delete a time entry.
- Find Client
Returns the clients in a Timely workspace whose name matches the given text.
- Find Project
Returns the projects whose name contains the specified text.
- Find Tag List and Tag
Finds a tag list and a specific tag if specified.
- Find time entries by criteria
Search time entries by date range, user, project.
- Find User
Finds a User
- Get Task
Retrieves a single task (forecast) by its id.
- Log Time Entry
Logs a new time entry against a project.
- Start timer
Start the timer on a time entry.
- Stop timer
Stop the running timer on a time entry.
- Update client
Update a client.
- Update Project Name
Updates only the name of an existing project. Look up the project by Timely Project ID or by External ID (recommended when the source-of-truth system stores the Timely external_id, e.g. NetSuite).
- Update time entry
Update a logged time entry.
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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More into Timely Time Tracking
Questions
Databox and Timely Time Tracking, answered
What can start an automation from Databox?
Any of Databox's 1 trigger in the catalog, including New Dataset. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Timely Time Tracking when something happens in Databox?
Any of Timely Time Tracking's 19 actions, including Create Client, Create Person, Create Project and Create Task. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Timely Time Tracking to Databox?
Yes. When something happens in Timely Time Tracking, your agent can act in Databox too. This page covers both directions: Timely Time Tracking's triggers and Databox's actions are listed here as well.
Do I have to build a connector for Databox or Timely Time Tracking?
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 Databox and Timely Time Tracking 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.