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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Amazon Redshift with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Equip your AI to directly query, analyze, and manage your petabyte-scale data warehouse via the serverless AWS Redshift Data API.

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 · 7 capabilities

The complete Amazon Redshift capability set.

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

Capability set01 / 02

01-04

4 capabilities in this set.

Part of 7 available through Amazon Redshift.

  1. 01

    Describe table

    Retrieves column metadata for a table

  2. 02

    Execute SQL

    This is an asynchronous operation that returns a statement ID. Executes a SQL statement using the Redshift Data API

  3. 03

    List statements

    Lists recent SQL statements executed in the cluster

  4. 04

    Get results

    Retrieves the results of a completed SQL statement

Capability set02 / 02

05-07

3 capabilities in this set.

Part of 7 available through Amazon Redshift.

  1. 05

    List tables

    Lists all tables in a specific schema

  2. 06

    Statement status

    Checks the execution status of a SQL statement

  3. 07

    List schemas

    Lists all database schemas in Redshift

Observed, not estimated

843ms average. Fast in production.

Amazon Redshift is checked daily against the live service.

Daily averagePeak 1058ms
Aug 21Today
Fastest day
699ms
Slowest day
1058ms
14-day trend
Improving-27%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 7 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 Amazon Redshift, so you can see the experience inside your AI.

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

Amazon Redshift Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_QDzQjDxNMJC2VmZh3q1JKRAmKezB8DhMd2clGxBp/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 — Amazon Redshift capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "amazon-redshift-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_QDzQjDxNMJC2VmZh3q1JKRAmKezB8DhMd2clGxBp/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 Amazon Redshift owners ask.

  • 01

    Are query results limited by size?

    Yes. The underlying Redshift Data API imposes soft constraints; for enormous responses, you might receive a paginated NextToken. While this MCP server auto-handles some response collection, queries returning over a few megabytes of raw JSON should be pre-filtered using LIMIT or aggregated to avoid token constraints in the LLM.

  • 02

    Can I use standard IAM credentials or do I need specific AWS roles?

    The integration accepts standard static IAM keys (AWS_ACCESS_KEY_ID & AWS_SECRET_ACCESS_KEY), provided they hold sufficient IAM inline or attached policies allowing use of redshift-data:* operations targeting your exact Cluster ARN.

  • 03

    Why does execute_sql only return a statement ID instead of the data?

    Because the Amazon Redshift Data API is strictly asynchronous. Queries often take seconds to minutes. Returning the statement_id instantly allows the AI to continue parsing conversations or interacting with other systems without locking up, executing get_results at a later time when the query officially succeeds.

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