How to Use the Materialize (Streaming SQL DB) MCP in Cursor

Q: How do I configure Materialize (Streaming SQL DB) in Cursor?

You create a .cursor/mcp.json file in your project root and define the MCP server under the mcpServers key. Once saved, Cursor loads the tools, allowing your agent to run queries and manage compute.

Q: Can Cursor write and test Materialize (Streaming SQL DB) views?

Yes, the agent uses the executesql tool to create, modify, and test your materialized views. The active MCP tools run the SQL statements directly against your active database to verify syntax and schema correctness.

Q: How do I check active compute engines in Materialize (Streaming SQL DB) using Cursor?

You run the listclusters tool through Cursor's chat interface. The agent reads the response to show you exactly which compute resources are active and what sizes they are running.

Q: What tool do I use to check if my database is online?

You use the checkhealth tool. The agent runs this MCP command to verify that the instance is fully operational before executing heavy analytical queries.

Write and run streaming database queries directly in Cursor with live schema context.

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Connect Materialize (Streaming SQL DB) MCP to Cursor

Create your Vinkius account to connect Materialize (Streaming SQL DB) 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.

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Setup Materialize (Streaming SQL DB) with Cursor

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Execute streaming SQL commands inside Cursor

The `execute_sql` tool runs live SQL statements directly from your workspace, letting your agent inspect active schemas and test complex joins. You write code against real streaming views without guessing column names or data types. Because Cursor reads the actual query output, it generates precise TypeScript or Python models based on live database state. No more mock data or outdated schema files in your local codebase.

Scale compute via the Cursor MCP Server

The `create_cluster` tool lets your agent provision new compute clusters instantly to handle heavy streaming join operations. You configure the cluster size from xs to xl directly within your active coding session. To keep cloud costs under control, the `list_clusters` tool displays every active compute cluster in your system. Cursor inspects this list to ensure your code targets the correct active engine before deploying new streaming views.

Verify pipeline health before deploying code

The `check_health` tool runs a diagnostic check on your streaming database instance to confirm it is ready for incoming queries. Your agent checks this status before running integration tests or deploying schema migrations. If a source connection is broken, Cursor catches the failure immediately. This prevents you from wasting time debugging application code when the actual issue lies in an upstream Kafka broker.

Setup guide

Set up Materialize (Streaming SQL DB) 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 Materialize (Streaming SQL DB) 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 Materialize (Streaming SQL DB) transactions." If the MCP tools are loaded correctly, Cursor will call the Materialize (Streaming SQL DB) tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "materialize-streaming-sql-db-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Materialize (Streaming SQL DB) MCP in Cursor

You create a `.cursor/mcp.json` file in your project root and define the MCP server under the `mcpServers` key. Once saved, Cursor loads the tools, allowing your agent to run queries and manage compute.

Yes, the agent uses the `execute_sql` tool to create, modify, and test your materialized views. The active MCP tools run the SQL statements directly against your active database to verify syntax and schema correctness.

You run the `list_clusters` tool through Cursor's chat interface. The agent reads the response to show you exactly which compute resources are active and what sizes they are running.

You use the `check_health` tool. The agent runs this MCP command to verify that the instance is fully operational before executing heavy analytical queries.

Your database connection credentials and query outputs are processed locally within Cursor's secure MCP sandbox environment. No database credentials or raw query results are sent to third-party servers.

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