Amazon

AWS

Amazon Rekognition MCP server
Amazon Rekognition MCP server
Amazon Rekognition MCP server
for Claude, ChatGPT, Cursor and your own agents
for Claude, ChatGPT, Cursor and your own agents
for Claude, ChatGPT, Cursor and your own agents

Q: What is the Amazon Rekognition MCP server?

It’s a Model Context Protocol server that exposes the Amazon Rekognition API operations as tools. Claude, ChatGPT, Cursor or your own agents call them through the Mindflow MCP Gateway.

Q: Do I need an official MCP server from the vendor?

No. Mindflow exposes Amazon Rekognition as an MCP server through its native connector, which covers the full API and stays current when the API changes.

Q: Which AI clients can use Amazon Rekognition through MCP?

MCP-compatible clients such as Claude, ChatGPT, Cursor, Codex or your own agents. They connect to one governed endpoint, so changing clients doesn’t mean rebuilding access.

Q: How do I control what AI agents can do in Amazon Rekognition?

In the MCP Gateway, choose the tools each client may call. Allow reads, require human approval before sensitive writes and block the rest. Credentials stay in Mindflow and every call is logged.

Q: Can the same connection power automated workflows?

Yes. The same Amazon Rekognition connector runs in Mindflow flows and AI··Agents, so one connection serves your AI clients and your automations.

Expose Amazon Rekognition to Claude, ChatGPT, Cursor or your own agents as a governed MCP server, even if the vendor doesn’t ship one. Mindflow turns every API operation into an MCP tool and keeps the connector current when the API changes. The MCP Gateway sits between your AI clients and your data, with scoped access, human approval before sensitive writes and a record of every call.

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See the integration

operation

available

Complete and up-to-date endpoint coverage by Mindflow.

Other services from this vendor:

Other services from this portfolio:

operation

available

Complete and up-to-date endpoint coverage by Mindflow.

Other services from this vendor:

Other services from this portfolio:

operation

available

Complete and up-to-date endpoint coverage by Mindflow.

Other services from this vendor:

Other services from this portfolio:

Our customers scale automation with security built in.

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Tools exposed by this MCP server

Every Amazon Rekognition operation, as an MCP tool

Each API operation becomes a tool your AI client can call. You decide which ones: allow reads, require approval before sensitive writes and block the rest. A few of the most used:

Amazon Rekognition
Amazon Rekognition
Compare a face between two images
Compare a face between two images
Amazon Rekognition
Amazon Rekognition
Create a collection
Create a collection
Amazon Rekognition
Amazon Rekognition
Create a stream processor
Create a stream processor
Amazon Rekognition
Amazon Rekognition
Delete a collection
Delete a collection
Amazon Rekognition
Amazon Rekognition
Detect custom labels in an image
Detect custom labels in an image
Amazon Rekognition
Amazon Rekognition
Detect faces in an image
Detect faces in an image
Amazon Rekognition
Amazon Rekognition
Detect labels in an image
Detect labels in an image
Amazon Rekognition
Amazon Rekognition
Detect text in an image
Detect text in an image
Amazon Rekognition
Amazon Rekognition
Detect unsafe content in an image
Detect unsafe content in an image
Amazon Rekognition
Amazon Rekognition
Get label detection results for a video
Get label detection results for a video
Amazon Rekognition
Amazon Rekognition
Index faces into a collection
Index faces into a collection
Amazon Rekognition
Amazon Rekognition
List collections
List collections
Amazon Rekognition
Amazon Rekognition
Search user IDs using an image
Search user IDs using an image
Amazon Rekognition
Amazon Rekognition
Start a stream processor
Start a stream processor
Amazon Rekognition
Amazon Rekognition
Start label detection for a stored video
Start label detection for a stored video
Amazon Rekognition
Amazon Rekognition
Stop a stream processor
Stop a stream processor

Amazon Rekognition
Compare a face between two images
Amazon Rekognition
Create a collection
Amazon Rekognition
Create a stream processor
Amazon Rekognition
Delete a collection
Amazon Rekognition
Detect custom labels in an image
Amazon Rekognition
Detect faces in an image
Amazon Rekognition
Detect labels in an image
Amazon Rekognition
Detect text in an image
Amazon Rekognition
Detect unsafe content in an image
Amazon Rekognition
Get label detection results for a video
Amazon Rekognition
Index faces into a collection
Amazon Rekognition
List collections
Amazon Rekognition
Search user IDs using an image
Amazon Rekognition
Start a stream processor
Amazon Rekognition
Start label detection for a stored video
Amazon Rekognition
Stop a stream processor

Amazon Rekognition
Amazon Rekognition
Stop a stream processor
Stop a stream processor
Amazon Rekognition
Amazon Rekognition
Start label detection for a stored video
Start label detection for a stored video
Amazon Rekognition
Amazon Rekognition
Start a stream processor
Start a stream processor
Amazon Rekognition
Amazon Rekognition
Search user IDs using an image
Search user IDs using an image
Amazon Rekognition
Amazon Rekognition
List collections
List collections
Amazon Rekognition
Amazon Rekognition
Index faces into a collection
Index faces into a collection
Amazon Rekognition
Amazon Rekognition
Get label detection results for a video
Get label detection results for a video
Amazon Rekognition
Amazon Rekognition
Detect unsafe content in an image
Detect unsafe content in an image
Amazon Rekognition
Amazon Rekognition
Detect text in an image
Detect text in an image
Amazon Rekognition
Amazon Rekognition
Detect labels in an image
Detect labels in an image
Amazon Rekognition
Amazon Rekognition
Detect faces in an image
Detect faces in an image
Amazon Rekognition
Amazon Rekognition
Detect custom labels in an image
Detect custom labels in an image
Amazon Rekognition
Amazon Rekognition
Delete a collection
Delete a collection
Amazon Rekognition
Amazon Rekognition
Create a stream processor
Create a stream processor
Amazon Rekognition
Amazon Rekognition
Create a collection
Create a collection
Amazon Rekognition
Amazon Rekognition
Compare a face between two images
Compare a face between two images

Amazon Rekognition
Stop a stream processor
Amazon Rekognition
Start label detection for a stored video
Amazon Rekognition
Start a stream processor
Amazon Rekognition
Search user IDs using an image
Amazon Rekognition
List collections
Amazon Rekognition
Index faces into a collection
Amazon Rekognition
Get label detection results for a video
Amazon Rekognition
Detect unsafe content in an image
Amazon Rekognition
Detect text in an image
Amazon Rekognition
Detect labels in an image
Amazon Rekognition
Detect faces in an image
Amazon Rekognition
Detect custom labels in an image
Amazon Rekognition
Delete a collection
Amazon Rekognition
Create a stream processor
Amazon Rekognition
Create a collection
Amazon Rekognition
Compare a face between two images

Connect Amazon Rekognition to your AI client in three steps.

01 Connect the service

Add Amazon Rekognition in Mindflow with its credentials. They stay in Mindflow and never reach the AI client.

02 Choose the tools

Pick the operations each AI client may call. Allow reads, require approval before sensitive writes and block the rest.

03 Connect your AI client

Point Claude, ChatGPT, Cursor or your own agent to your MCP Gateway endpoint, then check real calls in the audit log.

How the MCP Gateway governs every call

Use cases

What your AI agents can do with Amazon Rekognition

AI clients

Mindflow

Amazon Rekognition

→ Automate face recognition for secure access control by detecting faces in images and indexing them into collections, enabling automated identification through collection queries and user searches. → Streamline video content moderation by automatically initiating content moderation jobs on stored videos and retrieving detailed moderation labels to ensure compliance with safety standards. → Enhance custom object detection workflows by leveraging custom label detection APIs to automatically classify and tag objects in images according to customized projects without manual intervention.

Amazon

AWS

MCP servers:

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Amazon AppConfig Data

Amazon AppFlow

Amazon AppIntegrations

Amazon AppStream

Amazon Augmented AI Runtime

Amazon AWS App Runner

Amazon AWS Chatbot

Amazon AWS CodeStar Connections

Amazon AWS Connect Service

Amazon AWS Direct Connect

Amazon AWS Firewall Management Service

Amazon AWS GameLift

Amazon AWS Marketplace Metering

Amazon AWS Outposts

Amazon AWS Personalize

Amazon AWS Security Token Service

Amazon AWS Serverless Application Repository

Amazon AWS Service Catalog App Registry

Amazon AWS Storage Gateway

Amazon Backup

Amazon Backup Storage

Every call goes through one governed endpoint.

Your AI clients get access. You keep control.

Every call to Amazon Rekognition goes through the Mindflow MCP Gateway. The same policies apply to every AI client: role-based access by team and environment, scoped credentials that never reach the client, human approval before sensitive writes, and a log of every call you can export to your SIEM.

Discover the MCP Gateway

Amazon Rekognition MCP server

Live

RBAC · SecOps

Scoped credentials

Audit log

Compare a face between two images

Allowed

Create a collection

Allowed

Create a stream processor

Needs approval

Delete a collection

Blocked

Every call logged · Export to SIEM

Questions about the Amazon Rekognition MCP server

Clear answers before you connect an AI client.

What is the Amazon Rekognition MCP server?

Do I need an official MCP server from the vendor?

Which AI clients can use Amazon Rekognition through MCP?

How do I control what AI agents can do in Amazon Rekognition?

Can the same connection power automated workflows?

Questions about the Amazon Rekognition MCP server

Clear answers before you connect an AI client.

What is the Amazon Rekognition MCP server?

Do I need an official MCP server from the vendor?

Which AI clients can use Amazon Rekognition through MCP?

How do I control what AI agents can do in Amazon Rekognition?

Can the same connection power automated workflows?

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Put this MCP server to work.

Bring one AI client and the tools it needs. We’ll show you the setup in Mindflow, from scoped access to the audit log.

Book a demo

Put this MCP server to work.

Bring one AI client and the tools it needs. We’ll show you the setup in Mindflow, from scoped access to the audit log.

Book a demo

Less busywork. More possibility.

Let your agents handle the routine. Make room for what comes next.

Let’s talk

Automation intelligence, delivered monthly.

Product releases, automation playbooks, and security research — straight to your inbox. No spam, unsubscribe anytime.

Less busywork. More possibility.

Let your agents handle the routine. Make room for what comes next.

Let’s talk

Automation intelligence, delivered monthly.

Product releases, automation playbooks, and security research — straight to your inbox. No spam, unsubscribe anytime.

Less busywork. More possibility.

Let your agents handle the routine. Make room for what comes next.

Let’s talk

Automation intelligence, delivered monthly.

Product releases, automation playbooks, and security research — straight to your inbox. No spam, unsubscribe anytime.

SOC Starter

Vulnerability Operations

DORA & NIS2

SOC Starter

SOC Starter

Vulnerability Operations

DORA & NIS2

SOC Starter

Every Amazon Rekognition operation, as an MCP tool

Every Amazon Rekognition operation, as an MCP tool

Connect Amazon Rekognition to your AI client in three steps.

01

Connect the service

02

Choose the tools

03

Connect your AI client

What your AI agents can do with Amazon Rekognition

What your AI agents can do with Amazon Rekognition

More

More

Amazon

Amazon

AWS

AWS

MCP servers:

MCP servers:

Every call goes through one governed endpoint.

Every call goes through one governed endpoint.

Your AI clients get access. You keep control.

Your AI clients get access. You keep control.

Questions about the Amazon Rekognition MCP server

Questions about the Amazon Rekognition MCP server

Automation intelligence, delivered monthly.

Automation intelligence, delivered monthly.

Automation intelligence, delivered monthly.