How to Use the Amazon SQS Queue MCP in Claude
Check SQS queues, send test messages, and debug workers without leaving Claude Desktop. Your AWS console can stay closed.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Amazon SQS Queue MCP to Claude Desktop
Create your Vinkius account to connect Amazon SQS Queue to Claude Desktop and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Send and Receive Messages
This tool connects Claude to a specific Amazon SQS Queue. You can ask your agent to send a message directly into the queue with the `send_message` tool. Just tell it what the message body should be. Then, use `receive_messages` to see what's waiting in the queue. Your agent will pull down messages, showing you their contents and IDs right in the chat. It's perfect for testing a worker or seeing if a process is backed up.
Acknowledge and Delete Messages
Once you've processed a message, you need to get it out of the queue. The `delete_message` tool handles that. You give your agent the message's receipt handle, and it removes it from SQS. This closes the loop on manual queue management. You can pull a message, inspect it, and then delete it in three separate steps, all from your chat window. It gives you fine-grained control for debugging tricky situations.
Build SQS Workflows in Claude Desktop
Connect this MCP Server and you can start building simple SQS-driven workflows. For instance, ask Claude to check a queue every few minutes and summarize the incoming messages. It's a straightforward way to monitor a system without writing a script. You can talk to your queue. Ask "Are there any new orders in the processing queue?" and your agent uses the tools to give you a straight answer. This turns a passive queue into an active part of your conversation.
Set up Amazon SQS Queue MCP in Claude Web or Desktop
- 1
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
- 2
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcpReplace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials. - 3
Start a conversation
Open a new chat. The Amazon SQS Queue MCP tools are available immediately — no restart needed.
Endpoint URL
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp No configuration file needed — paste the URL directly in the Claude web interface.
Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Amazon SQS Queue MCP in Claude Desktop
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Amazon SQS Queue MCP today
We host it, we monitor it, we maintain it. You just paste one token.