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

Connect your account once and let the AI you already use work with it, without building another integration. Deterministic sizing for AWS Redshift clusters, including node counts, concurrency scaling, and WLM configuration.

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 Redshift capability set.

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

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through AWS Redshift.

  1. 01

    Calculate cluster size

    Determines the fundamental hardware requirements for the Redshift cluster

  2. 02

    Configure resource management

    Sets up the internal governance of the cluster, including memory allocation and data backups

  3. 03

    Optimize workload performance

    Provides configuration for query execution, scaling, and data organization

Observed, not estimated

843ms average. Fast in production.

AWS Redshift is checked daily against the live service.

Daily averagePeak 1007ms
Aug 20Today
Fastest day
662ms
Slowest day
1007ms
14-day trend
Slowing+44%

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

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

AWS Redshift Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_OJIVXy1WREFPoEekc6MBLkCmNskfCzYlKcrSevSj/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 Redshift capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "aws-redshift-cluster-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_OJIVXy1WREFPoEekc6MBLkCmNskfCzYlKcrSevSj/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 Redshift owners ask.

  • 01

    How do I determine the number of nodes needed?

    You can use the calculate_cluster_size capability. Provide the total compressed data volume in TB and select your preferred node type (dc2, ds2, or ra3) to get the exact node count.

  • 02

    Can I configure WLM queues through this capability?

    Yes, the configure_resource_management capability allows you to define up to 8 WLM queues and allocate memory percentages to ensure efficient workload management.

  • 03

    What is the difference between compound and interleaved sort keys?

    When using optimize_workload_performance, you can choose between compound sort keys (prioritized sequence) or interleaved sort keys (multi-dimensional weight) depending on your query patterns.

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