AWS SQS Calculator Connector for AI agents.
3 live capabilities
Calculate SQS payload strategies and queue throughput limits
Waiting for input…
Why people use AWS SQS Calculator
Stop guessing SQS limits with AWS SQS Calculator
With this MCP, that manual guesswork disappears. You just tell your agent your throughput and timeout settings, and it tells you exactly where you stand against AWS limits. You get immediate, deterministic answers that let you build with confidence.
What Vinkius changes
You stop guessing your SQS limits and start designing with mathematical certainty.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,400+ Connectors
- Real-world use case 01
Handling oversized messages
A developer realizes a payload is 500 KB and asks their agent if they need to implement the S3 pointer pattern to avoid SQS limits.
- Real-world use case 02
Preventing throughput throttling
An engineer checks if a high-velocity standard queue will exceed the account's in-flight message limit before scaling up.
- Real-world use case 03
Validating FIFO queue limits
A DevOps pro confirms if their required messages per second fits within the standard FIFO throughput constraints.
Complete set · 3capabilities
The complete AWS SQS Calculator capability set.
These are the exact actions your AI can choose when you ask it to work with AWS SQS Calculator.
01—03
3 capabilities in this set.
Part of 3 available through AWS SQS Calculator.
- 01 Capability
Calculate payload strategy
Determines if a message requires the S3 pointer pattern based on its size. It also calculates how to chunk data if needed.
- 02 Capability
Calculate queue capacity
Analyzes throughput limits and identifies risks of exceeding in-flight message caps for standard or FIFO queues.
- 03 Capability
Calculate retention and dlq
Validates message lifespan and identifies the exact threshold for dead-lettering to prevent data loss.
Set up in minutes
One URL. Then ask AWS SQS Calculator to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use AWS SQS Calculator 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_N7d9WpE2dXVS9ox80D10Z9kN5NeEMNivJMsmGSlL/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 AWS SQS Calculator, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable AWS SQS Calculator for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_N7d9WpE2dXVS9ox80D10Z9kN5NeEMNivJMsmGSlL/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 AWS SQS Calculator URL.
- Step 03
Save and start
Save the connection and enable AWS SQS Calculator in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"aws-sqs-calculator": {
"url": "https://edge.vinkius.com/vk_preview_N7d9WpE2dXVS9ox80D10Z9kN5NeEMNivJMsmGSlL/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 AWS SQS Calculator
Open Agent mode in chat and ask: "Using AWS SQS Calculator, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"aws-sqs-calculator": {
"url": "https://edge.vinkius.com/vk_preview_N7d9WpE2dXVS9ox80D10Z9kN5NeEMNivJMsmGSlL/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 AWS SQS Calculator
Ask Copilot: "Using AWS SQS Calculator, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"aws-sqs-calculator": {
"url": "https://edge.vinkius.com/vk_preview_N7d9WpE2dXVS9ox80D10Z9kN5NeEMNivJMsmGSlL/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 AWS SQS Calculator
Open Cascade and ask: "Using AWS SQS Calculator, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"aws-sqs-calculator": {
"url": "https://edge.vinkius.com/vk_preview_N7d9WpE2dXVS9ox80D10Z9kN5NeEMNivJMsmGSlL/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 AWS SQS Calculator
Ask Cline: "Using AWS SQS Calculator, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add aws-sqs-calculator --transport http "https://edge.vinkius.com/vk_preview_N7d9WpE2dXVS9ox80D10Z9kN5NeEMNivJMsmGSlL/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 AWS SQS Calculator
Ask Claude: "Using AWS SQS Calculator, show me...". 3 tools are ready
Where the request belongs
Work AWS SQS can move forward.
This is for the cloud engineers and DevOps professionals who are tired of debugging 'Message Too Large' errors or hitting unexpected SQS throttling in production.
Cloud Architect
Designing scalable event-driven systems that won't break under heavy load.
DevOps Engineer
Validating infrastructure-as-code configurations for messaging queues.
Backend Developer
Determining the best way to handle large payloads in distributed systems.
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Before you connect
Questions about AWS SQS.
The practical details behind the request, access and result.
How can I use the AWS SQS Calculator MCP to prevent message loss?
You can use it to validate your message lifespan and dead-letter queue thresholds to ensure your error-handling logic is correctly configured.
Can the AWS SQS Calculator MCP help with large message errors?
Yes, it identifies if your message size requires the S3 pointer pattern to stay within SQS limits.
Will this AWS SQS Calculator MCP work with FIFO queues?
Yes, it can calculate specific throughput constraints and limits specifically for FIFO queue configurations.
How does the AWS SQS Calculator MCP help with account limits?
It calculates your in-flight message counts based on your throughput and visibility timeout to ensure you don't hit AWS account ceilings.
Can I use this AWS SQS Calculator MCP in Claude?
Yes, once you connect it through Vinkius, you can use it directly within Claude or any other MCP-compatible client.
One connection away
Give your agent a direct line to AWS SQS.
Connect AWS SQS once. Keep it beside 6,400+ managed Connectors when the next task needs more.
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