---
title: "Connect Amazon SageMaker and Bitbucket - APIANT.ai"
description: "When \"New Training Job\" fires in Amazon SageMaker, your agent runs \"Add pull request comment\" in Bitbucket."
canonical: "https://apiant.ai/connect/amazon-sagemaker-to-bitbucket"
---

# Connect Amazon SageMaker and Bitbucket

When **New Training Job** fires in [Amazon SageMaker](https://apiant.ai/connections/amazon-sagemaker), your agent runs **Add pull request comment** in [Bitbucket](https://apiant.ai/connections/bitbucket), or **New pull request** in Bitbucket to **Invoke Endpoint** in Amazon SageMaker. Describe the whole flow and it is built, tested on every scenario and kept running.

Amazon SageMaker **1** trigger Amazon SageMaker **1** action Bitbucket **1** trigger Bitbucket **9** actions

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

## What do you want Amazon SageMaker and Bitbucket 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 Amazon SageMaker and Bitbucket can do together

### From Amazon SageMaker to Bitbucket

- When **New Training Job** in Amazon SageMaker then **Add pull request comment** in Bitbucket
- When **New Training Job** in Amazon SageMaker then **Add branch** in Bitbucket

### From Bitbucket to Amazon SageMaker

- When **New pull request** in Bitbucket then **Invoke Endpoint** in Amazon SageMaker

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 Amazon SageMaker and Bitbucket

## Triggers and actions 2 triggers · 10 actions

- Trigger

**New Training Job**

Triggers when a new SageMaker training job is created.

- Action

**Invoke Endpoint**

Sends input to a deployed Amazon SageMaker model endpoint and returns its prediction.

- Trigger

**New pull request**

- Action

**Add branch**

/2.0/repositories/{workspace}/{repo_slug}/refs/branches

- Action

**Add pull request**

/2.0/repositories/{workspace}/{repo_slug}/pullrequests

- Action

**Add pull request comment**

/2.0/repositories/{workspace}/{repo_slug}/pullrequests/{id}/comments

- Action

**Add repository**

/2.0/repositories/{workspace}/{repo_slug}

- Action

**Get pull request**

/2.0/repositories/{workspace}/{repo_slug}/pullrequests/{id}

- Action

**List branches**

/2.0/repositories/{workspace}/{repo_slug}/refs/branches

- Action

**List pull requests**

/2.0/repositories/{workspace}/{repo_slug}/pullrequests

- Action

**List repositories**

/2.0/repositories/{workspace}

- Action

**Update pull request**

/2.0/repositories/{workspace}/{repo_slug}/pullrequests/{id}

## Each app on its own

- [ **Amazon SageMaker** Amazon SageMaker is a cloud platform for building, training, and deploying machine learning models at scale](https://apiant.ai/connections/amazon-sagemaker)
- [ **Bitbucket** Git repository hosting platform with pull request code review and built-in CI/CD pipelines, integrated with...](https://apiant.ai/connections/bitbucket)

Reviews

## What our customers say

## More from Amazon SageMaker

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

## More into Bitbucket

- [ **ActiveCampaign to Bitbucket** ActiveCampaign is a marketing automation, email marketing, and CRM platform.](https://apiant.ai/connect/activecampaign-to-bitbucket)
- [ **Airtable to Bitbucket** Organize anything with Airtable, a modern database created for everyone.](https://apiant.ai/connect/airtable-to-bitbucket)
- [ **Asana to Bitbucket** Asana is a collaborative information manager for workspace.](https://apiant.ai/connect/asana-to-bitbucket)
- [ **2Chat to Bitbucket** 2Chat is a conversational commerce automation tool for WhatsApp, Instagram, Messenger, and SMS.](https://apiant.ai/connect/2chat-to-bitbucket)
- [ **3Scribe to Bitbucket** 3Scribe is the most accurate, automated text transcription available.](https://apiant.ai/connect/3scribe-to-bitbucket)
- [ **5pm to Bitbucket** 5pm is an online project management tool for teams.](https://apiant.ai/connect/5pm-to-bitbucket)

Questions

## Amazon SageMaker and Bitbucket, answered

###

### What can start an automation from Amazon SageMaker?

Any of Amazon SageMaker's 1 trigger in the catalog, including New Training Job. Describe the moment in plain language and your agent picks the right one.

###

### What can your agent do in Bitbucket when something happens in Amazon SageMaker?

Any of Bitbucket's 9 actions, including Update pull request, Add branch, Add pull request and Add pull request comment. Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from Bitbucket to Amazon SageMaker?

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

###

### Do I have to build a connector for Amazon SageMaker or Bitbucket?

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 Amazon SageMaker and Bitbucket 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.