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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
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Use AWS SQS with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Calculate SQS payload strategies, throughput, and in-flight limits.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 3 capabilities

The complete AWS SQS capability set.

These are the exact actions your AI can choose when you ask it to work with AWS SQS.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through AWS SQS.

  1. 01

    Calculate payload strategy

    Determines if a message requires the S3 pointer pattern and calculates chunking

  2. 02

    Calculate queue capacity

    Analyzes throughput limits and in-flight message risks

  3. 03

    Calculate retention and dlq

    Validates message lifespan and identifies the threshold for dead-lettering

Observed, not estimated

804ms average. Fast in production.

AWS SQS is checked daily against the live service.

Daily averagePeak 942ms
Aug 20Today
Fastest day
661ms
Slowest day
942ms
14-day trend
Slowing+22%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of AWS SQS, so you can see the experience inside your AI.

It does not authenticate your account with AWS SQS. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

AWS SQS Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_N7d9WpE2dXVS9ox80D10Z9kN5NeEMNivJMsmGSlL/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — AWS SQS capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "aws-sqs-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_N7d9WpE2dXVS9ox80D10Z9kN5NeEMNivJMsmGSlL/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions AWS SQS owners ask.

  • 01

    How do I know if I need the S3 pointer pattern?

    You can use the calculate_payload_strategy capability. If the payload size exceeds 256 KB, the capability will indicate that the S3 pointer pattern is required.

  • 02

    Can I check if my FIFO queue will exceed limits?

    Yes, the calculate_queue_capacity capability analyzes throughput and flags if the calculated in-flight messages exceed the 120,000 account-wide limit.

  • 03

    How do I validate my DLQ settings?

    Use the calculate_retention_and_dlq capability to ensure your retention period and max receive count are within valid AWS bounds.

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