Integration

Connect TrainAR to Feedbucket

When Task Created fires in TrainAR, your agent runs Add project in Feedbucket. 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 TrainAR and Feedbucket 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

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)

TrainAR tracks the operational tasks your team works through, and Feedbucket holds the projects clients leave website feedback on. Connecting them means a review task in TrainAR can set up its own Feedbucket project, pull a project's widget settings, rename a project when the site address changes, or clear a project out when the task is cancelled.

Example flows

What TrainAR can start in Feedbucket

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 Feedbucket

Triggers and actions 2 triggers · 9 actions

Each app on its own

Reviews

What our customers say

More from TrainAR

More into Feedbucket

Questions

TrainAR and Feedbucket, answered

Can a Feedbucket comment start something in TrainAR?

No, Feedbucket is listed here with actions only, so every scenario begins on the TrainAR side with a task being created or a task status changing. From there the agent can add, get, list, update or delete a Feedbucket project.

How do I avoid creating the same Feedbucket project twice?

The agent can list the projects in your Feedbucket account first and only add a new one when no project matches the site name on the TrainAR task. It tests every scenario, including the case where the project already exists.

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 Feedbucket when something happens in TrainAR?

Any of Feedbucket's 5 actions, including Add project, Delete project, Get project and List projects. Your agent maps the data both ways and tests every scenario before it ships.

Can it also run from Feedbucket to TrainAR?

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

Do I have to build a connector for TrainAR or Feedbucket?

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.

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.