Integration

Connect BigML and Mindbody

When New project fires in BigML, your agent runs Add contact log in Mindbody, or New client in Mindbody to Get Resource Status 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.

Mindbody Partner Award winner: Most Valuable Partner (opens the announcement in a new tab)

Build solutions, not workarounds.

What do you want BigML and Mindbody 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 datasets and models your studio analytics run on, while MINDBODY holds the classes, clients and sales they describe. Connecting them lets a class completing or a client record changing in MINDBODY pull model and dataset details from BigML, and lets a new BigML project pull the services, staff or client records it needs from MINDBODY.

Example flows

What BigML and Mindbody can do together

From BigML to Mindbody

From Mindbody 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 Mindbody

Triggers and actions 58 triggers · 126 actions

Each app on its own

Reviews

What our customers say

More from BigML

More into Mindbody

Questions

BigML and Mindbody, answered

Can a workflow check that a BigML model is ready before writing to MINDBODY?

Get Resource Status reads a source, dataset, model or prediction by id, so the workflow can read that status and only continue to the MINDBODY steps when the result is there. The agent tests every scenario, including the case where the resource is not ready.

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 Mindbody when something happens in BigML?

Any of Mindbody's 122 actions, including Add contact log, Get all services, Add completed sale to client and Get class recently updated. Your agent maps the data both ways and tests every scenario before it ships.

Can it also run from Mindbody to BigML?

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

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

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 Mindbody 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.