---
title: "Connect BigML to Steady - APIANT.ai"
description: "When \"New project\" fires in BigML, your agent runs \"Get current user\" in Steady."
canonical: "https://apiant.ai/connect/bigml-to-steady"
---

# Connect BigML to Steady

When **New project** fires in [BigML](https://apiant.ai/connections/bigml), your agent runs **Get current user** in [Steady](https://apiant.ai/connections/steady). Describe the whole flow and it is built, tested on every scenario and kept running.

BigML **1** trigger BigML **4** actions Steady **1** action

What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.

## What do you want BigML and Steady to do together?

Give your AI client this address.

`https://mcp.apiant.ai`

One 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.ai`

Start Claude Code there, approve the server, and sign in in the browser page it opens.

[Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code)

### 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)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

### Zed

Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

BigML tells you when a new project is created, and Steady can tell you which account the connection is signed in as. Joined together, every new BigML project can be logged with the sources, datasets or models already sitting in the account plus the name and email of the Steady user behind the work, so nobody has to look any of it up by hand.

Example flows

## What BigML can start in Steady

- When **New project** in BigML then **Get current user** in Steady

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 BigML and Steady

## Triggers and actions 1 trigger · 5 actions

- Trigger

**New project**

Triggered when a new project is created in BigML. Polls the BigML projects list endpoint and emits each project, deduplicated by its resource id.

- Action

**Get Resource Status**

Retrieve a BigML resource by id (source/dataset/model/prediction) to poll its status and read results.

- Action

**List Datasets**

List BigML datasets, optionally filtered/paginated.

- Action

**List Models**

List BigML models, optionally filtered/paginated.

- Action

**List Sources**

List BigML sources, optionally filtered/paginated.

- Action

**Get current user**

Returns the basic profile (name, email, avatar) of the Steady user the connection is signed in as.

## Each app on its own

- [ **BigML** BigML is a machine learning platform for building, evaluating, and running predictive models.](https://apiant.ai/connections/bigml)
- [ **Steady** Steady is a subscription platform for blogs, journalism, podcasts and other content creators.](https://apiant.ai/connections/steady)

Reviews

## What our customers say

## More from BigML

- [ **BigML to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/bigml-to-hubspot)
- [ **BigML to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/bigml-to-salesforce)
- [ **BigML to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/bigml-to-slack)
- [ **BigML to Mailchimp** Mailchimp marketing automation and email platform.](https://apiant.ai/connect/bigml-to-mailchimp)
- [ **BigML to Shopify** Shopify is a commerce platform for online stores and retail point-of-sale.](https://apiant.ai/connect/bigml-to-shopify)
- [ **BigML to QuickBooks Online** QuickBooks Online accounting — manage customers, invoices, bills, payments, vendors, expenses, and more via...](https://apiant.ai/connect/bigml-to-quickbooks-online)

## More into Steady

- [ **My Music Staff to Steady** My Music Staff is a tool for private music teachers and schools, managing scheduling, payments, attendance...](https://apiant.ai/connect/my-music-staff-to-steady)
- [ **Ninety to Steady** Ninety is a platform that helps organizations execute their strategies by aligning goals, managing tasks...](https://apiant.ai/connect/ninety-to-steady)
- [ **VocaDB to Steady** VocaDbWeb](https://apiant.ai/connect/vocadb-to-steady)
- [ **HubSpot to Steady** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-steady)
- [ **Salesforce to Steady** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-steady)
- [ **Slack to Steady** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-steady)

Questions

## BigML and Steady, answered

###

### Can Steady start one of these runs?

No. Steady has no triggers here, so the work always begins with the New project trigger in BigML; Steady comes in through its Get current user action. If you need a Steady event as the starting point, this pair is not the right fit.

###

### What can be read out of BigML after a project is created?

You can list sources, datasets and models, and you can retrieve a single resource by id with Get Resource Status to read its state and results. Those calls can run in any order after the New project trigger, and the agent tests every scenario before it goes live.

###

### What can start an automation from BigML?

Any of BigML's 1 trigger in the catalog, including New project. Describe the moment in plain language and your agent picks the right one.

###

### What can your agent do in Steady when something happens in BigML?

Any of Steady's 1 action, including Get current user. Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from Steady to BigML?

Steady has no triggers in the catalog today, so automations start in BigML. If you need the other direction, ask: your agent reads Steady's API documentation and adds it.

###

### Do I have to build a connector for BigML or Steady?

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 BigML and Steady 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.
