---
title: "Connect TrainAR to TeamBuildr Strength - APIANT.ai"
description: "When \"Task Created\" fires in TrainAR, your agent runs \"Add user\" in TeamBuildr Strength."
canonical: "https://apiant.ai/connect/trainar-to-teambuildr-strength"
---

# Connect TrainAR to TeamBuildr Strength

When **Task Created** fires in [TrainAR](https://apiant.ai/connections/trainar), your agent runs **Add user** in [TeamBuildr Strength](https://apiant.ai/connections/teambuildr-strength). Describe the whole flow and it is built, tested on every scenario and kept running.

TrainAR **2** triggers TrainAR **4** actions TeamBuildr Strength **17** actions

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

## What do you want TrainAR and TeamBuildr Strength 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)

Example flows

## What TrainAR can start in TeamBuildr Strength

- When **Task Created** in TrainAR then **Add user** in TeamBuildr Strength
- When **Task Status Changed** in TrainAR then **Update user** in TeamBuildr Strength

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 TrainAR and TeamBuildr Strength

## Triggers and actions 2 triggers · 21 actions

- Trigger

**Task Created**

Triggers when a new operational task is created in TrainAR.

- Trigger

**Task Status Changed**

Triggers when the status of an operational task changes in TrainAR.

- Action

**Create Task**

Creates a new operational task in TrainAR.

- Action

**Find Task**

Returns up to 100 tasks (newest first) that match the specified status, source, assignee and created-date range.

- Action

**Find User**

Finds users in your TrainAR account by email address and/or name, optionally narrowed by role and status.

- Action

**Update Task Status**

Updates the status (and optionally other fields) of an existing task in TrainAR.

- Action

**Add exercise**

Creates a new exercise in a TeamBuildr account's exercise library.

- Action

**Add group**

Creates a group in a TeamBuildr account, optionally with initial members and day-based programs.

- Action

**Add journal entry**

Creates a journal entry for an athlete in your TeamBuildr account.

- Action

**Add tag**

Creates a new exercise tag in a TeamBuildr account.

- Action

**Add user**

Creates an athlete in a TeamBuildr account and optionally assigns them to groups and a calendar.

- Action

**Archive user**

Archives an athlete in a TeamBuildr account and returns the archived user.

- Action

**Get exercise**

Returns the full details of one exercise in a TeamBuildr account, including its type, units, tracking options, tags and media.

- Action

**Get group**

Returns the details of a TeamBuildr group, including its member count, filters and assigned programs.

- Action

**Get user**

Returns the full details of a user (athlete or coach) in a TeamBuildr account.

- Action

**List exercises**

Returns the exercises in a TeamBuildr account, optionally filtered by tag, type, tracking or similarity to another exercise.

- Action

**List groups**

Returns the groups in a TeamBuildr account, optionally only those enabled for leaderboards, reporting or messaging.

- Action

**List journal entries**

Returns athlete journal entries in a TeamBuildr account, optionally filtered by user, group, exercise, date range or media.

- Action

**List tags**

Returns the exercise tags in a TeamBuildr account, with the exercises linked to each tag.

- Action

**List users**

Returns the athletes and coaches in a TeamBuildr account, optionally filtered by type, group, calendar or gender.

- Action

**Update exercise**

Updates an existing exercise in a TeamBuildr account. Only the fields you fill in are changed.

- Action

**Update group**

Updates a group's name, feature flags, members or assigned programs. Fields left blank are not changed.

- Action

**Update user**

Updates a TeamBuildr user's profile details, and optionally their calendar assignment, groups and coach access.

## Each app on its own

- [ **TrainAR** TrainAR is a platform for augmented reality training that connects tasks and sessions to 8000+ apps for...](https://apiant.ai/connections/trainar)
- [ **TeamBuildr Strength** TeamBuildr Strength is a Strength & Conditioning software used by coaches & trainers around the world to...](https://apiant.ai/connections/teambuildr-strength)

Reviews

## What our customers say

## More from TrainAR

- [ **TrainAR to Vercel** Vercel is a platform for building, deploying, and scaling fast, modern web applications effortlessly.](https://apiant.ai/connect/trainar-to-vercel)
- [ **TrainAR to Feedbucket** Feedbucket is a website feedback tool designed for agencies to better collect and organize feedback and bug...](https://apiant.ai/connect/trainar-to-feedbucket)
- [ **TrainAR to Trello** Trello is a visual collaboration tool that organizes projects into boards, lists, and cards.](https://apiant.ai/connect/trainar-to-trello)
- [ **TrainAR to Zoom** Zoom unifies cloud video conferencing, simple online meetings, group messaging, and a software-based...](https://apiant.ai/connect/trainar-to-zoom)
- [ **TrainAR to Twilio** Cloud communications platform for sending SMS/MMS messages, making and managing voice calls, and looking up...](https://apiant.ai/connect/trainar-to-twilio)
- [ **TrainAR to Typeform** Build and publish online forms, surveys, and quizzes with Typeform.](https://apiant.ai/connect/trainar-to-typeform)

## More into TeamBuildr Strength

- [ **HubSpot to TeamBuildr Strength** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-teambuildr-strength)
- [ **Salesforce to TeamBuildr Strength** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-teambuildr-strength)
- [ **Slack to TeamBuildr Strength** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-teambuildr-strength)
- [ **Google Sheets to TeamBuildr Strength** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-teambuildr-strength)
- [ **Gmail to TeamBuildr Strength** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-teambuildr-strength)
- [ **Google Calendar to TeamBuildr Strength** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-teambuildr-strength)

Questions

## TrainAR and TeamBuildr Strength, answered

###

### What can start an automation from TrainAR?

Any of TrainAR's 2 triggers in the catalog, including Task Created and Task Status Changed. Describe the moment in plain language and your agent picks the right one.

###

### What can your agent do in TeamBuildr Strength when something happens in TrainAR?

Any of TeamBuildr Strength's 17 actions, including Update exercise, Update group, Update user and Add exercise. Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from TeamBuildr Strength to TrainAR?

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

###

### Do I have to build a connector for TrainAR or TeamBuildr Strength?

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 TrainAR and TeamBuildr Strength 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.
