Amazon Redshift MCP Server for Mastra AI 7 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Amazon Redshift through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"amazon-redshift": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Amazon Redshift Agent",
instructions:
"You help users interact with Amazon Redshift " +
"using 7 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Amazon Redshift?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Amazon Redshift tool infrastructure. Connect 7 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Amazon Redshift MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 7 tools from Amazon Redshift via MCP
Why Use Mastra AI with the Amazon Redshift MCP Server
Mastra AI provides unique advantages when paired with Amazon Redshift through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Amazon Redshift without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Amazon Redshift tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Amazon Redshift + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Amazon Redshift MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Amazon Redshift, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Amazon Redshift as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Amazon Redshift on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Amazon Redshift tools alongside other MCP servers
Amazon Redshift MCP Tools for Mastra AI (7)
These 7 tools become available when you connect Amazon Redshift to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Amazon Redshift to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpAmazon Redshift + Mastra AI FAQ
Common questions about integrating Amazon Redshift MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Amazon Redshift with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Amazon Redshift to Mastra AI
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.