Integration

Connect BigML and Mailchimp

When New project fires in BigML, your agent runs Add Cart Line Item in Mailchimp, or Campaign Sent (instant) in Mailchimp to List Datasets in BigML. 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 BigML and Mailchimp to do together?

Ask the assistant

You'll sign in before anything runs. What you typed comes with you.

Examples

Pick one to fill the box, then change anything: the steps, the wording, even the apps. Go as long as you like.

Connect your AI client

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)
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)

BigML holds the projects, datasets and models your analysts work with, while Mailchimp holds the audiences, segments and campaigns your marketers send. Connecting them means a new BigML project can prepare the Mailchimp audience it will feed, and a Mailchimp send or a new audience can pull the matching BigML resources without anyone copying ids by hand.

Example flows

What BigML and Mailchimp can do together

From BigML to Mailchimp

From Mailchimp to BigML

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 Mailchimp

Triggers and actions 6 triggers ยท 168 actions

Each app on its own

Reviews

What our customers say

More from BigML

More into Mailchimp

Questions

BigML and Mailchimp, answered

Can the agent tell which BigML datasets belong to a new project?

Yes. The New project trigger emits the project, List Datasets returns datasets that can be filtered to it, and Get Resource Status reads a single resource by id to confirm it finished loading. The agent tests every scenario before it goes live.

Can a BigML model score Mailchimp members directly?

Not through these actions. The BigML side here lists sources, datasets and models and checks resource status, while the Mailchimp side can create segments, merge fields, tags and campaigns to hold and act on what those lists return.

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 Mailchimp when something happens in BigML?

Any of Mailchimp's 164 actions, including Create audience, Create Campaign, Create Cart and Create Classic Automation. Your agent maps the data both ways and tests every scenario before it ships.

Can it also run from Mailchimp to BigML?

Yes. When something happens in Mailchimp, your agent can act in BigML too. This page covers both directions: Mailchimp's triggers and BigML's actions are listed here as well.

Do I have to build a connector for BigML or Mailchimp?

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 Mailchimp 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.