Integration
Connect Databox to MILKEE
When New Dataset fires in Databox, your agent runs Create Customer in MILKEE. 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 MILKEE 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 can start in MILKEE
When New Dataset in Databox
then Create Customer in MILKEE
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 MILKEE
Triggers and actions 1 trigger · 26 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.
- Create Account
Creates a new ledger account in a MILKEE company's chart of accounts.
- Create Customer
Creates a new customer.
- Create Entry
Creates a new booking entry (Buchung) in a MILKEE company. The entry type (income, expense or swap) is determined automatically from the debit and credit accounts.
- Create Invoice
Creates a new invoice with line items for a customer/project.
- Create Product
Creates a new reusable product or service in a MILKEE company, for use on invoices and proposals.
- Create Project
Creates a new project in a MILKEE company, linked to an existing customer or to a new customer created on the fly.
- Create Tag
Creates a new tag in a MILKEE company.
- Create Task
Creates a new task within a MILKEE project.
- Create Tax Rate
Creates a new tax rate (e.g. a VAT rate) for a MILKEE company.
- Create Time Track
Creates a time tracking entry on a MILKEE project.
- Find Entry
Returns the MILKEE bookkeeping entries (Buchungen) of a company that match the given filters, such as entry ID, date range, type, customer, project, account or tag.
- Find Project
Returns the MILKEE projects whose name matches the specified name, optionally narrowed by customer and archive status.
- Find Task
Returns the tasks in a MILKEE company whose title contains the text you give, optionally narrowed to one status.
- Find Time Track
Returns the time entries in a MILKEE company that match the specified criteria (entry id, user, customer, project, invoice, status, billable flag or date range).
- Update Invoice
Updates an existing MILKEE invoice by ID. Only invoices in status open can be edited.
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
Databox and MILKEE, 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 MILKEE when something happens in Databox?
Any of MILKEE's 15 actions, including Create Account, Create Customer, Create Entry and Create Invoice. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from MILKEE to Databox?
MILKEE has no triggers in the catalog today, so automations start in Databox. If you need the other direction, ask: your agent reads MILKEE's API documentation and adds it.
Do I have to build a connector for Databox or MILKEE?
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 MILKEE 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.