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

Q: How do I connect Materialize (Streaming SQL DB) to Windsurf?

Open your mcpconfig.json file in /.codeium/windsurf/ or use the Settings UI. Add the server details under the mcpServers key, then hit refresh in the MCP panel. Cascade will auto-discover the tools instantly.

Let Windsurf Cascade provision compute clusters and write streaming SQL views autonomously.

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Connect Materialize (Streaming SQL DB) MCP to Windsurf

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

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Chain streaming SQL queries in Windsurf

Cascade doesn't wait for permission to build your real-time pipelines. You give it a target metric, and it strings together the exact database operations needed to get there. It starts by checking your environment with `check_health`. Once verified, your agent fires off `execute_sql` to define materialized views that update incrementally as new data arrives.

Manage compute resources on the fly

Streaming workloads fluctuate heavily during peak traffic. If a query starts lagging, your MCP-enabled IDE can step in and fix the bottleneck without you touching a dashboard. Windsurf reads the current state using `list_clusters`. If it notices you need more power for a complex join, it calls `create_cluster` to spin up an 'xl' compute instance immediately.

Build autonomous data pipelines

Writing continuous queries usually means switching between your editor and a database console. This MCP Server keeps your entire workflow inside your code environment. You just tell Cascade to set up a real-time analytics feed. It provisions the cluster, writes the SQL syntax, executes the deployment, and verifies the pipeline health in one continuous loop.

Setup guide

Set up Materialize (Streaming SQL DB) MCP in Windsurf

Prerequisites

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

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

Add the Materialize (Streaming SQL DB) MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my Materialize (Streaming SQL DB) payment history." If connected, Cascade will call the Materialize (Streaming SQL DB) tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Materialize. 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.

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

Open your mcp_config.json file in ~/.codeium/windsurf/ or use the Settings UI. Add the server details under the mcpServers key, then hit refresh in the MCP panel. Cascade will auto-discover the tools instantly.

Yes. Cascade evaluates your current compute usage and issues a command to deploy a larger instance size. It uses the cluster creation tool to handle the provisioning automatically.

It expects standard PostgreSQL syntax optimized for streaming workloads. You pass your raw queries directly to the execution tool, and the database handles the incremental view maintenance.

Standard databases run queries on demand, which adds latency. This setup maintains the results of your queries continuously in memory. When Cascade asks for the data, the answer is already computed.

Your raw Kafka event streams and continuous view outputs never leave your controlled environment. The integration only transmits the exact SQL strings and cluster metadata required to execute the commands. Vinkius isolates the execution in a V8 sandbox so your live event data stays out of third-party logs.

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