---
title: "Connect BigML and Teamwork - APIANT.ai"
description: "When \"New project\" fires in BigML, your agent runs \"List Projects\" in Teamwork, or \"New Milestone\" in Teamwork to \"Get Resource Status\" in BigML."
canonical: "https://apiant.ai/connect/bigml-to-teamwork"
---

# Connect BigML and Teamwork

When **New project** fires in [BigML](https://apiant.ai/connections/bigml), your agent runs **List Projects** in [Teamwork](https://apiant.ai/connections/teamwork), or **New Milestone** in Teamwork to **Get Resource Status** in BigML. Describe the whole flow and it is built, tested on every scenario and kept running.

BigML **1** trigger BigML **4** actions Teamwork **6** triggers Teamwork **22** actions

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 Teamwork 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)

Teamwork holds the project plan and BigML holds the modelling work, and the two rarely line up on their own. Connecting them means a new BigML project can open the matching Teamwork project, task list and tasks, and Teamwork events can pull the current state of your BigML sources, datasets and models back to the people doing the work.

Example flows

## What BigML and Teamwork can do together

### From BigML to Teamwork

- When **New project** in BigML then **List Projects** in Teamwork
- When **New project** in BigML then **Create Project** in Teamwork

### From Teamwork to BigML

- When **New Milestone** in Teamwork then **Get Resource Status** in BigML
- When **New Task** in Teamwork then **List Models** in 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 Teamwork

## Triggers and actions 7 triggers · 26 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.

- Trigger

**New Company**

Triggered when a new company is added.

- Trigger

**New Milestone**

Triggered when a new milestone is added.

- Trigger

**New Person**

Triggered when a new person is added.

- Trigger

**New Project**

Triggered when a new project is added.

- Trigger

**New Task**

Triggered when a new task is added.

- Trigger

**New Time Entry**

Triggered when a new time entry is added.

- Action

**Add Company**

Creates a new company.

- Action

**Add Message**

Adds a message to the specified project.

- Action

**Add Milestone**

Adds a new milestone to the specified project.

- Action

**Add Time Entry**

Logs a time entry against the specified task.

- Action

**Complete Task**

Marks a task as complete.

- Action

**Create Project**

Adds a new project.

- Action

**Create Task**

Adds a new task to the specified task list.

- Action

**Create Task List**

Creates a new task list in the specified project.

- Action

**Delete Project**

Deletes a project by ID.

- Action

**Delete Task**

Deletes a task by ID.

- Action

**Get Project**

Returns a single project by ID.

- Action

**Get Task**

Returns a single task by ID.

- Action

**List Companies**

Returns all companies on the site.

- Action

**List Milestones**

Returns all milestones on the site.

- Action

**List People**

Returns all people on the site.

- Action

**List Projects**

Returns all projects on the Teamwork site.

- Action

**List Task Lists**

Returns all task lists in the specified project.

- Action

**List Tasks**

Returns all tasks across the site.

- Action

**List Tasks in Project**

Returns all tasks in the specified project.

- Action

**List Time Entries**

Returns time entries across the site.

- Action

**Update Project**

Updates an existing project.

- Action

**Update Task**

Updates an existing task.

## Each app on its own

- [ **BigML** BigML is a machine learning platform for building, evaluating, and running predictive models.](https://apiant.ai/connections/bigml)
- [ **Teamwork** Project management software that lets you own the big picture — manage projects, tasks, milestones, time...](https://apiant.ai/connections/teamwork)

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 Teamwork

- [ **Slack to Teamwork** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-teamwork)
- [ **Gmail to Teamwork** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-teamwork)
- [ **Mailchimp to Teamwork** Mailchimp marketing automation and email platform.](https://apiant.ai/connect/mailchimp-to-teamwork)
- [ **Stripe to Teamwork** Stripe is a payment processing platform for online businesses.](https://apiant.ai/connect/stripe-to-teamwork)
- [ **Shopify to Teamwork** Shopify is a commerce platform for online stores and retail point-of-sale.](https://apiant.ai/connect/shopify-to-teamwork)
- [ **Pipedrive to Teamwork** Pipedrive is a sales CRM and pipeline management tool.](https://apiant.ai/connect/pipedrive-to-teamwork)

Questions

## BigML and Teamwork, answered

###

### Can a new BigML project create the matching project in Teamwork?

Yes. The New project trigger in BigML can list your existing Teamwork projects first, then create the project, a task list and tasks only when nothing with that name is already there. The agent tests every scenario, including the case where the Teamwork project already exists.

###

### What BigML information can Teamwork events pull in?

Teamwork triggers such as New Task, New Milestone or New Time Entry can call the BigML actions that list sources, datasets and models, or fetch a single resource by id to read its status and results. That information can then be written back into Teamwork as a message or task.

###

### 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 Teamwork when something happens in BigML?

Any of Teamwork's 22 actions, including Add Message, Create Task, List Projects and Create Project. Your agent maps the data both ways and tests every scenario before it ships.

###

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

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

###

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

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 Teamwork 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.
