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How to Use the Databox MCP in Windsurf

Connect the Databox MCP Server directly to Windsurf. Let Cascade autonomously query metrics, build datasets, and push KPI data.

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Windsurf

Connect Databox MCP to Windsurf

Create your Vinkius account to connect Databox 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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Autonomous Metric Ingestion in Windsurf

Windsurf uses the `push_metrics_data` tool to directly ingest raw data into your Databox datasets. Cascade reads your local JSON or CSV files, maps the fields to the target schema, and fires off the payloads automatically. You just tell the agent which file contains your latest sales figures. Instead of manually writing ingestion scripts, the agent handles the entire mapping process. It checks existing structures with `get_dataset_details` first to ensure the schema matches. If a dataset is missing, Cascade chains a `create_dataset` call right before pushing the new records.

Manage Databox Accounts via MCP Server

The `list_accounts` and `list_data_sources` tools allow your agent to map out exactly where your KPI data lives. When you ask for a high-level overview of available metrics, Cascade pulls the full inventory across multiple client workspaces. It sees exactly which integrations are active. Setting up fresh environments happens instantly. Your IDE executes `create_data_source` to spin up a new intake point for a custom internal tool you just built. The agent reads your new database schema and configures the corresponding Databox intake endpoint in one motion.

Instant Storage and Activity Audits

Your AI client checks `get_storage_statistics` to monitor how much data your organization is hoarding. If limits are approaching, Cascade will proactively suggest cleaning up stale sources. It pulls the numbers straight from the API and displays them in your editor. Tracking down broken syncs takes seconds. By calling `list_activity_logs`, the agent reads the exact API errors and timing data for recent ingestion attempts. You see exactly why yesterday's revenue dashboard failed to update without logging into a web portal.

Setup guide

Set up Databox MCP in Windsurf

Prerequisites

  • Windsurf IDE installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 2

    Add the Databox 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. 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. 4

    Verify in Cascade

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

mcp_config.json
{
  "mcpServers": {
    "databox-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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

Open `~/.codeium/windsurf/mcp_config.json` and add the Vinkius endpoint URL under the `mcpServers` object. You can also use the Settings UI under Cascade to paste your authentication token. Click the refresh button in the MCP panel to load the tools.
Yes, Cascade executes the `create_dataset` tool when it detects you need a new container for custom metrics. Tell the agent what you are tracking and it generates the schema.
No. Once you set a goal, the agent chains the required reads and writes autonomously. It will push thousands of rows via `push_metrics_data` in the background.
Your API token likely lacks the correct read scopes for the target workspace. Verify your credentials using the `get_current_user` tool to see exactly which account the IDE is acting on.
Vinkius runs this integration inside a V8 Isolate Sandbox that destroys itself after the session ends. Your raw KPI data, storage statistics, and API logs pass through an ephemeral environment. Zero data hits a permanent disk.

Start using the Databox MCP today

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