Integration
Connect bambooHR and Databox
When New Employee fires in bambooHR, your agent runs Create Dataset in Databox, or New Dataset in Databox to Add Employee Table Row in bambooHR. 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 bambooHR 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 bambooHR and Databox can do together
From bambooHR to Databox
When New Employee in bambooHR
then Create Dataset in Databox
From Databox to bambooHR
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 bambooHR and Databox
Triggers and actions 4 triggers · 31 actions
- New Employee
Triggers when a new employee is added.
- New or Updated Time Off Request
Triggers when a time off request is created or updated.
- Updated Employee
Triggers when an employee record is updated.
- Add Employee
Create a new employee record. The new employee's ID is returned in the Location header.
- Add Employee File
Upload a file to an employee record.
- Add Employee Table Row
Add a row to an employee table.
- Add Job Application Comment
Add a comment to a job application.
- Add Time Off Request
Create a time off request for an employee.
- Delete Employee
Delete an employee.
- Get Company Report
Run a company report by ID and return its rows as JSON.
- Get Employee
Retrieve a single employee's fields by employee ID.
- Get Employee Directory
Retrieve the full company employee directory.
- Get Employee Table Data
Get tabular data (job info, compensation, etc.) for an employee.
- Get Time Off Requests
List time off requests filtered by date range, employee, status, or type.
- Get Time Off Types
List the time off types configured for the company.
- Get Who's Out
List time off and holidays between a start and end date.
- List Employee Files
List files and categories for an employee.
- List Employees
List employees (paginated, filterable).
- List Goals
List an employee's goals.
- List Job Applications
List job applications.
- List Users
List BambooHR users.
- Update Employee
Update an existing employee's details.
- Update Time Off Request status
Approve, deny or cancel a time off request.
- 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.
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
bambooHR and Databox, answered
What can start an automation from bambooHR?
Any of bambooHR's 3 triggers in the catalog, including New Employee, New or Updated Time Off Request and Updated Employee. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Databox when something happens in bambooHR?
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 bambooHR?
Yes. When something happens in Databox, your agent can act in bambooHR too. This page covers both directions: Databox's triggers and bambooHR's actions are listed here as well.
Do I have to build a connector for bambooHR 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 bambooHR 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.