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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AWS Timestream with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Deterministic sizing engine for AWS Timestream workloads.

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 Timestream capability set.

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

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through AWS Timestream.

  1. 01

    Calculate architectural hierarchy

    Estimates the distribution of data across the AWS Timestream organizational structure

  2. 02

    Calculate ingestion and storage

    Calculates primary data flow metrics including throughput and storage volume across both tiers

  3. 03

    Calculate operational limits

    Determines optimized write batching strategies and query execution capacity

Observed, not estimated

812ms average. Fast in production.

AWS Timestream is checked daily against the live service.

Daily averagePeak 1070ms
Aug 20Today
Fastest day
688ms
Slowest day
1070ms
14-day trend
Stable+4%

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 Timestream, so you can see the experience inside your AI.

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

AWS Timestream Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_7dS8jv4W6XgCvSE4oUZxxpdC3EQjVW0f2cOZKrBB/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 Timestream capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "aws-timestream-sizing-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_7dS8jv4W6XgCvSE4oUZxxpdC3EQjVW0f2cOZKrBB/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 Timestream owners ask.

  • 01

    How do I estimate my storage costs?

    You can use the calculate_ingestion_and_storage capability to estimate the volume of data in both the Memory and Magnetic storage tiers, which helps in predicting AWS Timestream costs.

  • 02

    Can I plan my database hierarchy?

    Yes, the calculate_architectural_hierarchy capability estimates the distribution of data across dimensions, tables, databases, and accounts based on your total measure count.

  • 03

    How can I optimize my write operations?

    Use the calculate_operational_limits capability to find the optimal batch size in records and MB, as well as recommended query concurrency levels.

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