ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AWS Step Functions Limits Calculator with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Validate AWS Step Functions configurations against hard service limits and performance best practices.

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 · 4 capabilities

The complete AWS Step Functions Limits Calculator capability set.

These are the exact actions your AI can choose when you ask it to work with AWS Step Functions Limits Calculator.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AWS Step Functions Limits Calculator.

  1. 01

    Calculate activity timeout range

    Determines the valid window for activity task timeouts

  2. 02

    Calculate workflow capacities

    Calculates the available or allowed capacities for data payloads, duration, and state naming based on the workflow mode

  3. 03

    Check definition compliance

    Validates if the provided state machine definition and structure exceed hard AWS service limits

  4. 04

    Evaluate performance recommendations

    Compares the current configuration against AWS best practices and soft limits to prevent performance degradation

Observed, not estimated

817ms average. Fast in production.

AWS Step Functions Limits Calculator is checked daily against the live service.

Daily averagePeak 943ms
Aug 20Today
Fastest day
629ms
Slowest day
943ms
14-day trend
Slowing+12%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 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 Step Functions Limits Calculator, so you can see the experience inside your AI.

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

AWS Step Functions Limits Calculator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_qkPtjUbLkm3pLQphGXK1NiBT7OrDcKaaaU3er0wt/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 Step Functions Limits Calculator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "aws-step-functions-limits-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_qkPtjUbLkm3pLQphGXK1NiBT7OrDcKaaaU3er0wt/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 Step Functions Limits Calculator owners ask.

  • 01

    How do I check if my state machine definition is too large?

    You can use the check_definition_compliance capability by providing your definition size in KB to identify if it exceeds the 104,857 character limit.

  • 02

    What is the difference between Standard and Express workflow limits?

    Standard workflows allow up to 256 KB payloads and 1 year duration, while Express workflows are limited to 32 KB payloads and 5 minutes duration. Use calculate_workflow_capacities to see the exact values.

  • 03

    Can I check for performance bottlenecks?

    Yes, the evaluate_performance_recommendations capability checks if your state count or nesting depth exceeds AWS best practices.