Amazon SQS Queue Connector for AI agents.
3 live capabilities
Build secure background workers to process cloud tasks and messages.
Waiting for input…
Why people use Amazon SQS Queue
Amazon SQS Queue for Secure Cloud Task Processing
This Connector changes that by creating a surgical boundary. You point it at one specific queue, and that's all the AI can see. It pulls a task, does the work, and moves on. You get a functional background worker without the security headache.
What Vinkius changes
You get a secure way to let your AI handle background jobs without giving it the keys to your whole AWS account.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Video Processing
An AI agent receives a message from the queue to process a video and starts the transcoding job in the background.
- Real-world use case 02
Report Generation
A user requests a heavy report, and the AI sends a message to the queue to generate it without hanging the UI.
- Real-world use case 03
Alert Handling
A system pushes error logs to the queue, and the AI picks them up to summarize the issues for a dashboard.
Complete set · 3capabilities
The complete Amazon SQS Queue capability set.
These are the exact actions your AI can choose when you ask it to work with Amazon SQS Queue.
01—03
3 capabilities in this set.
Part of 3 available through Amazon SQS Queue.
- 01 Capability
Delete message
Removes a message from the queue once the AI finishes the work. This prevents the task from being processed again.
- 02 Capability
Receive messages
Pulls new tasks from the queue for your AI to handle. It returns the message body and the receipt handle.
- 03 Capability
Send message
Puts a new task into the queue for later processing. Use this to trigger background jobs from your main application.
Set up in minutes
One URL. Then ask Amazon SQS Queue to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Amazon SQS Queue from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_esGEjQeOaGzDTffaSry314SXm8bkDSFsVgASqGYX/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Amazon SQS Queue, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Amazon SQS Queue for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_esGEjQeOaGzDTffaSry314SXm8bkDSFsVgASqGYX/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Amazon SQS Queue URL.
- Step 03
Save and start
Save the connection and enable Amazon SQS Queue in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"amazon-sqs-queue": {
"url": "https://edge.vinkius.com/vk_preview_esGEjQeOaGzDTffaSry314SXm8bkDSFsVgASqGYX/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Amazon SQS Queue
Open Agent mode in chat and ask: "Using Amazon SQS Queue, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"amazon-sqs-queue": {
"url": "https://edge.vinkius.com/vk_preview_esGEjQeOaGzDTffaSry314SXm8bkDSFsVgASqGYX/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Amazon SQS Queue
Ask Copilot: "Using Amazon SQS Queue, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"amazon-sqs-queue": {
"url": "https://edge.vinkius.com/vk_preview_esGEjQeOaGzDTffaSry314SXm8bkDSFsVgASqGYX/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Amazon SQS Queue
Open Cascade and ask: "Using Amazon SQS Queue, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"amazon-sqs-queue": {
"url": "https://edge.vinkius.com/vk_preview_esGEjQeOaGzDTffaSry314SXm8bkDSFsVgASqGYX/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Amazon SQS Queue
Ask Cline: "Using Amazon SQS Queue, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add amazon-sqs-queue --transport http "https://edge.vinkius.com/vk_preview_esGEjQeOaGzDTffaSry314SXm8bkDSFsVgASqGYX/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Amazon SQS Queue
Ask Claude: "Using Amazon SQS Queue, show me...". 3 tools are ready
Where the request belongs
Work Amazon SQS Queue can move forward.
This is for backend engineers and DevOps specialists who need to build scalable, secure AI workers. It solves the problem of granting broad AWS permissions to an AI agent when you only need it to handle a specific stream of tasks.
Backend Engineer
Building scalable worker patterns for high-traffic apps that require asynchronous processing.
DevOps Engineer
Setting up secure AI-driven automation that interacts with cloud queues without risking other infrastructure.
AI Engineer
Creating specialized AI workers that chew through millions of queued tasks like video transcoding or data syncing.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsQStash (Serverless Message Queue)
Manage serverless messaging, task scheduling, and webhooks via Upstash QStash. publish messages, manage queues, and handle DLQs directly.
Amazon SNS Topic
This MCP does exactly one thing: it publishes messages to a single Amazon SNS Topic. That's its only function, and nothing else. Incredible for giving your AI the power to trigger cloud events.
Amazon EventBridge Bus
Event-driven architecture for AI agents. scoped event dispatching strictly limited to one EventBus for zero-trust security.
Azure Service Bus Queue
This MCP does exactly one thing: it pulls and acknowledges messages from a single Azure Service Bus Queue. That's its only function, and nothing else. Incredible for building secure AI workers.
Message Queue Throughput Calculator
Plan capacity for Kafka, RabbitMQ, or SQS by calculating consumer needs, backlog drain time, and concurrency.
Google Pub/Sub Subscription
This MCP does exactly one thing: it pulls and acknowledges messages from a single Google Pub/Sub Subscription. That's its only function, and nothing else. Incredible for building secure AI workers.
Bring your own AI
Change the model, client or framework. Keep Amazon SQS Queue connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Amazon SQS Queue.
The practical details behind the request, access and result.
Can the Amazon SQS Queue MCP handle multiple queues?
No, this Connector is designed to focus on a single queue for maximum security. It gives your AI agent one specific lane of work so it can't access or mess with your other cloud data.
Is the Amazon SQS Queue MCP safe to use in production?
Yes, it's built for production environments. It strips away dangerous global permissions and limits your AI's reach to just one queue, which is a best practice for cloud security.
How does the Amazon SQS Queue MCP handle message deletion?
It uses the delete_message capability. Once your AI finishes a task, it can call this capability to remove the message from the queue, ensuring it doesn't get processed again.
Can I use the Amazon SQS Queue MCP to send new tasks?
Yes, you can use the send_message capability to put new tasks into the queue. This is how you trigger background jobs from your main application for the AI to pick up later.
Does the Amazon SQS Queue MCP require broad AWS permissions?
No, that's the main point of this capability. It works by scoping access to one specific queue, so you don't have to grant your AI agent wide-reaching permissions to your AWS account.
How does the Amazon SQS Queue MCP help with scaling?
It allows your AI to act as a scalable background worker. It can chew through millions of queued tasks one by one, making it ideal for high-volume processing like video transcoding or data syncing.
Why limit the agent to a single queue?
To enforce the principle of least privilege and zero-trust architecture. An autonomous agent shouldn't have the power to read or delete messages from critical system queues.
Can I process messages automatically with this?
This server gives the agent the capabilities to pull (ReceiveMessage). The agent itself must decide when to call this capability, or be orchestrated by a cyclic prompt to continuously poll the queue.
What is the ReceiptHandle?
It's a unique token returned when you receive a message. You must provide this exact token to the delete_message capability to successfully remove the message from the queue.
One connection away
Give your agent a direct line to Amazon SQS Queue.
Connect Amazon SQS Queue once. Keep it beside 6,100+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available