How to Use the Amazon Redshift MCP in Cursor

Q: How can Cursor's agent use Amazon Redshift data to write code?

The agent calls executesql and getresults to fetch live data. It then uses that data's structure and content to generate functions, types, or tests that actually match your database.

Q: How do I set up the Amazon Redshift MCP for my team in Cursor?

Just add the server config to a .cursor/mcp.json file in your project's root and commit it. Every developer who opens the project in Cursor gets the tools automatically.

Q: How does Cursor handle async Amazon Redshift queries?

The executesql tool doesn't block your workflow. Cursor gets a statement ID back instantly and can keep helping you code. You can ask the agent to check the status with statementstatus whenever you're ready.

Inject live Amazon Redshift data directly into your code with Cursor. Build with real data, not mocks.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Amazon Redshift MCP to Cursor

Create your Vinkius account to connect Amazon Redshift to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Amazon Redshift with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Code with Live Schema Context

Use `list_schemas`, `list_tables`, and `describe_table` to have Cursor's agent pull your Redshift schema directly into the editor. It's like giving your agent database-aware autocomplete. When you ask the agent to write a data access layer, it already knows the exact table structures and column types. This stops bugs caused by schema drift and means you don't have to constantly check database docs.

Query Redshift from Your Editor

The `execute_sql` tool sends a query to your Redshift cluster and immediately gives you a statement ID. It's asynchronous, so you can keep coding while a heavy analytics query runs in the background. Once the query finishes, tell the agent to use `get_results` to pull the data. It can then use that data to generate code, write tests, or answer questions, all based on live results from your warehouse.

The Cursor Agent's MCP Server

This MCP Server gives your agent a direct line to your Redshift data. It's not just about running queries. The agent can check query history with `list_statements` or monitor progress with `statement_status`. This setup turns Cursor into a legitimate data environment. You can ask it to 'find the last failed query and tell me why' or 'write a Python script using the results of this SQL,' and it has the tools to do it.

Setup guide

Set up Amazon Redshift MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Amazon Redshift MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Amazon Redshift transactions." If the MCP tools are loaded correctly, Cursor will call the Amazon Redshift tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Amazon Redshift. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Amazon Redshift now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Amazon Redshift MCP in Cursor

The agent calls `execute_sql` and `get_results` to fetch live data. It then uses that data's structure and content to generate functions, types, or tests that actually match your database.

Just add the server config to a `.cursor/mcp.json` file in your project's root and commit it. Every developer who opens the project in Cursor gets the tools automatically.

The `execute_sql` tool doesn't block your workflow. Cursor gets a statement ID back instantly and can keep helping you code. You can ask the agent to check the status with `statement_status` whenever you're ready.

No. The server runs on Vinkius infrastructure, not your machine. Cursor just makes lightweight HTTP calls to it, and the queries themselves run on your Redshift cluster.

The server handles your SQL query text and the resulting data sets from Redshift. This information is never stored. Vinkius provides a secure, sandboxed environment for each request, so your query data is gone after it's used.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript