---
title: "Connect Openlayer to Amazon Rekognition - APIANT.ai"
description: "When \"New Project\" fires in Openlayer, your agent runs \"Check Image for Unsafe Content\" in Amazon Rekognition."
canonical: "https://apiant.ai/connect/openlayer-to-amazon-rekognition"
---

# Connect Openlayer to Amazon Rekognition

When **New Project** fires in [Openlayer](https://apiant.ai/connections/openlayer), your agent runs **Check Image for Unsafe Content** in [Amazon Rekognition](https://apiant.ai/connections/amazon-rekognition). Describe the whole flow and it is built, tested on every scenario and kept running.

Openlayer **2** triggers Openlayer **22** actions Amazon Rekognition **4** actions

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

## What do you want Openlayer and Amazon Rekognition 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 Openlayer can start in Amazon Rekognition

- When **New Project** in Openlayer then **Check Image for Unsafe Content** in Amazon Rekognition
- When **New Test Result** in Openlayer then **Detect Faces in Image** in Amazon Rekognition

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 Openlayer and Amazon Rekognition

## Triggers and actions 2 triggers · 26 actions

- Trigger

**New Project**

Triggers when a new project is created in your Openlayer workspace.

- Trigger

**New Test Result**

Triggers when a new test result is available for a data source. Useful for alerting on passing or failing model tests.

- Action

**Create Data Source**

Creates a new data source in a project for streaming production data to Openlayer.

- Action

**Create Project**

Creates a new AI or ML project in your Openlayer workspace.

- Action

**Create Test**

Creates a data quality test in a project. Checks for duplicate rows, null values, or row counts.

- Action

**Delete Inference Pipeline**

Delete an inference pipeline by its ID.

- Action

**Delete Project**

Delete a project by its ID.

- Action

**Delete Test**

Delete a test by its ID.

- Action

**Evaluate Test**

Evaluates a test for a specific time range. Use after publishing records to get immediate results.

- Action

**Find Data Source**

Finds a data source (inference pipeline) by name in a project.

- Action

**Find Project**

Finds a project by name in your Openlayer workspace.

- Action

**Find Test Result**

Finds test results for a data source, including whether each test passed or failed. Filter by outcome or test type to branch an automation on the result.

- Action

**Get Inference Pipeline**

Retrieve the details around a specific inference pipeline.

- Action

**Get Project**

Retrieves one project by its id. Openlayer has no single-project endpoint, so this reads the workspace's first 100 projects and returns the one matching the id.

- Action

**Get Test**

Retrieve a test by ID.

- Action

**Get Test Result**

Retrieves one test result by its id. Openlayer has no single-result endpoint, so this reads the data source's 100 most recent results and returns the matching one.

- Action

**List Inference Pipelines**

List the authenticated user's inference pipelines under a project.

- Action

**List Projects**

Lists the projects in your Openlayer workspace, optionally narrowed to one kind of project. Returns up to 100 projects.

- Action

**List Test Results**

List all results for a test/goal under an inference pipeline.

- Action

**List Tests**

Lists the tests in a project, optionally narrowed by kind, archived state or monitoring mode. Returns up to 100 tests.

- Action

**Publish Record**

Publishes an LLM inference record to a data source for monitoring. Streams the model input, output, and metadata to Openlayer.

- Action

**Update Inference Pipeline**

Update an inference pipeline.

- Action

**Update Project**

Update a project.

- Action

**Update Test**

Update a test (partial updates allowed).

- Action

**Check Image for Unsafe Content**

Checks an image stored in S3 for explicit, violent or otherwise unsafe content and returns any moderation labels found.

- Action

**Detect Faces in Image**

Finds the faces in an image stored in S3 and returns, for each, its estimated age range, emotions and attributes such as glasses or a smile.

- Action

**Detect Objects and Scenes in Image**

Returns the objects, scenes and concepts found in an image stored in S3, each with a confidence score.

- Action

**Detect Text in Image**

Reads the words and lines of text that appear in an image stored in S3.

## Each app on its own

- [ **Openlayer** Openlayer is a platform for monitoring, evaluating, and testing AI and ML models in production.](https://apiant.ai/connections/openlayer)
- [ **Amazon Rekognition** Cloud API for image and video analysis, including face detection, object/scene recognition, and text...](https://apiant.ai/connections/amazon-rekognition)

Reviews

## What our customers say

## More from Openlayer

- [ **Openlayer to Astroworld** Astroworld serves reference data about the game Minecraft.](https://apiant.ai/connect/openlayer-to-astroworld)
- [ **Openlayer to Byabbe** Seach histories from wikipedia for a particular day](https://apiant.ai/connect/openlayer-to-byabbe)
- [ **Openlayer to Cliniko** Cliniko is a practice management platform — manage patients, appointments, invoices, contacts, and...](https://apiant.ai/connect/openlayer-to-cliniko)
- [ **Openlayer to Enrich CRM** Enrich CRM helps you perform real-time contact and company enrichment.](https://apiant.ai/connect/openlayer-to-enrich-crm)
- [ **Openlayer to Evervault** Evervault provides secure encryption infrastructure for developers.](https://apiant.ai/connect/openlayer-to-evervault)
- [ **Openlayer to Postman** Postman is a platform for building and testing APIs.](https://apiant.ai/connect/openlayer-to-postman)

## More into Amazon Rekognition

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

Questions

## Openlayer and Amazon Rekognition, answered

###

### What can start an automation from Openlayer?

Any of Openlayer's 2 triggers in the catalog, including New Project and New Test Result. Describe the moment in plain language and your agent picks the right one.

###

### What can your agent do in Amazon Rekognition when something happens in Openlayer?

Any of Amazon Rekognition's 4 actions, including Check Image for Unsafe Content, Detect Faces in Image, Detect Objects and Scenes in Image and Detect Text in Image. Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from Amazon Rekognition to Openlayer?

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

###

### Do I have to build a connector for Openlayer or Amazon Rekognition?

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 Openlayer and Amazon Rekognition 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.
