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.

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.

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.

Amazon Redshift MCP Server for Cline 7 tools — connect in under 2 minutes

Name: Amazon Redshift
Availability: InStock
Author: Vinkius

cline.bot/docs/mcp

Built by Vinkius GDPR 7 Tools IDE

Cline is an autonomous AI coding agent inside VS Code that plans, executes, and iterates on tasks. Wire Amazon Redshift through Vinkius and Cline gains direct access to every tool. from data retrieval to workflow automation. without leaving the terminal.

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Classic Setup·json

{
  "mcpServers": {
    "amazon-redshift": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Amazon Redshift MCP Server

Connect your Amazon Redshift data warehouse securely to your AI agent utilizing the AWS Redshift Data API. This integration empowers your AI interface to natively run aggregations, explore massive schemas, and retrieve historical executing query logs asynchronously without requiring persistent DB connection pools, JDBC drivers, or complex networking configurations.

Cline operates autonomously inside VS Code. it reads your codebase, plans a strategy, and executes multi-step tasks including Amazon Redshift tool calls without waiting for prompts between steps. Connect 7 tools through Vinkius and Cline can fetch data, generate code, and commit changes in a single autonomous run.

What you can do

Execute Asynchronous SQL — Direct the AI to execute standard SQL commands (execute_sql), including complex SELECT aggregations, table creation (DDL), or data mutation (DML). Since it uses the Data API, long-running queries will process in the background.
Poll & Retrieve Results — Ask the agent to proactively monitor the execution lifecycle (statement_status) of dispatched query IDs and retrieve the dataset rows (get_results) securely into your terminal upon completion.
Schema & Table Discovery — Understand the database structure dynamically by generating lists of available schemas (list_schemas) or looking up column metadata metrics for specific tables (describe_table).
Statement Histories — Perform audits assessing previously submitted query structures and track analytical workloads running on your configured cluster (list_statements).

The Amazon Redshift MCP Server exposes 7 tools through the Vinkius. Connect it to Cline in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Amazon Redshift to Cline via MCP

Follow these steps to integrate the Amazon Redshift MCP Server with Cline.

Open Cline MCP Settings

Click the MCP Servers icon in the Cline sidebar panel

Add remote server

Click "Add MCP Server" and paste the configuration above

Enable the server

Toggle the server switch to ON

Start using Amazon Redshift

Ask Cline: "Using Amazon Redshift, help me...". 7 tools available

Why Use Cline with the Amazon Redshift MCP Server

Cline provides unique advantages when paired with Amazon Redshift through the Model Context Protocol.

Cline operates autonomously. it reads your codebase, plans a strategy, and executes multi-step tasks including MCP tool calls without step-by-step prompts

Runs inside VS Code, so you get MCP tool access alongside your existing extensions, terminal, and version control in a single window

Cline can create, edit, and delete files based on MCP tool responses, enabling end-to-end automation from data retrieval to code generation

Transparent execution: every tool call and file change is shown in Cline's activity log for full visibility and approval before committing

Amazon Redshift + Cline Use Cases

Practical scenarios where Cline combined with the Amazon Redshift MCP Server delivers measurable value.

Autonomous feature building: tell Cline to fetch data from Amazon Redshift and scaffold a complete module with types, handlers, and tests

Codebase refactoring: use Amazon Redshift tools to validate live data while Cline restructures your code to match updated schemas

Automated testing: Cline fetches real responses from Amazon Redshift and generates snapshot tests or mocks based on actual payloads

Incident response: query Amazon Redshift for real-time status and let Cline generate hotfix patches based on the findings

Amazon Redshift MCP Tools for Cline (7)

These 7 tools become available when you connect Amazon Redshift to Cline via MCP:

describe_table

Retrieves column metadata for a table

execute_sql

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

get_results

Retrieves the results of a completed SQL statement

list_schemas

Lists all database schemas in Redshift

list_statements

Lists recent SQL statements executed in the cluster

list_tables

Lists all tables in a specific schema

statement_status

Checks the execution status of a SQL statement

Example Prompts for Amazon Redshift in Cline

Ready-to-use prompts you can give your Cline agent to start working with Amazon Redshift immediately.

"List all active tables present inside the 'reporting_schema' schema."

"Describe the column parameters for 'user_cohorts' in the reporting schema."

"Run a query to fetch the sum of sales amounts where region is 'APAC' from the 'quarterly_revenue' table."

Troubleshooting Amazon Redshift MCP Server with Cline

Common issues when connecting Amazon Redshift to Cline through the Vinkius, and how to resolve them.

Server shows error in sidebar

Click the server name to see logs. Verify the URL and token are correct.

Amazon Redshift + Cline FAQ

Common questions about integrating Amazon Redshift MCP Server with Cline.

How does Cline connect to MCP servers?

Cline reads MCP server configurations from its settings panel in VS Code. Add the server URL and Cline discovers all available tools on initialization.