How to Use the Amazon DynamoDB Table MCP in Windsurf

Q: How do I configure the Amazon DynamoDB Table MCP Server in Windsurf?

Edit your /.codeium/windsurf/mcpconfig.json file to add the server endpoint. You can also use the Settings UI under Cascade's MCP Servers tab. Click refresh, and Cascade will auto-discover the database tools.

Connect the Windsurf MCP Server to your NoSQL backend. Cascade reads context and manages your Amazon DynamoDB Table records directly.

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Connect Amazon DynamoDB Table MCP to Windsurf

Create your Vinkius account to connect Amazon DynamoDB Table 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 Amazon DynamoDB Table with Windsurf

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`put_item` writes new records straight into your database without leaving the editor. Cascade grabs the schema from your codebase, formats the JSON payload, and inserts the data. You don't have to switch to the AWS console to seed test data anymore. Multi-step workflows happen automatically. When you ask to build a new feature, Cascade writes the frontend component and immediately runs `get_item` to fetch real data for the preview. The agent checks the response and tweaks the UI code based on the actual database schema.

Querying production data context

`query_table` pulls specific partition keys right into your Windsurf workspace. If you hit a bug related to a specific user session, you tell Cascade to investigate. The agent fetches the exact records causing the issue and feeds them into the context window. Hunting down edge cases takes seconds. Cascade executes `scan_table` through the MCP interface to find malformed items across the entire dataset. It then writes a migration script to fix those specific anomalies, using the live data as its test case.

Automated test data cleanup

`delete_item` removes stale records after your agent finishes building a feature. Cascade sets up the test environment, writes the code, and purges the dummy data once the tests pass. You keep your table clean without writing manual teardown scripts. Building features goes faster when the IDE handles state. Windsurf reads your intent, manipulates the database, and cleans up its own mess. Your focus stays entirely on the application logic.

Setup guide

Set up Amazon DynamoDB Table 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 Amazon DynamoDB Table 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 Amazon DynamoDB Table payment history." If connected, Cascade will call the Amazon DynamoDB Table tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

{
  "mcpServers": {
    "amazon-dynamodb-table-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 Amazon DynamoDB Table. 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 Amazon DynamoDB Table MCP in Windsurf

Edit your `~/.codeium/windsurf/mcp_config.json` file to add the server endpoint. You can also use the Settings UI under Cascade's MCP Servers tab. Click refresh, and Cascade will auto-discover the database tools.

Yes, Cascade runs queries without asking for permission first. You just define the goal. The agent figures out the required partition keys and fetches the exact items needed to write your code.

The agent executes deletions exactly as instructed. If you tell Windsurf to clear test records, it fires the delete command. Always point this integration at a staging or development database, never your production cluster.

You can run full table scans directly from the editor. The agent handles the pagination and filters the results in memory. It works perfectly for finding specific JSON structures when debugging.

Vinkius runs this connection inside a V8 Isolate Sandbox. Your partition keys, sort keys, and raw JSON payloads stay isolated within that ephemeral environment. The server requires only a single endpoint token to authenticate, keeping your AWS credentials out of the client.

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