Databox MCP Server for WindsurfGive Windsurf instant access to 12 tools to Create Data Source, Create Dataset, Delete Dataset, and more
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Databox through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
Ask AI about this App Connector for Windsurf
The Databox app connector for Windsurf is a standout in the Data Analytics category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Databox and 3,400+ MCP Servers from a single visual interface.




{
"mcpServers": {
"databox": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Databox MCP Server
Connect your Databox account to any AI agent and take full control of your business intelligence and data ingestion workflows through natural conversation.
Windsurf's Cascade agent chains multiple Databox tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 12 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- Dataset Orchestration — List and manage your database collections (tables) programmatically, including retrieving detailed schema metadata and primary key configurations
- High-Fidelity Ingestion — Programmatically push arrays of raw data records directly into Databox to coordinate real-time metric visualization and reporting
- Source Architecture — Access and manage your directory of data source integrations and connected accounts to maintain high-fidelity data feeds
- Usage Monitoring — Programmatically track your data storage statistics and API activity logs to coordinate your analytics budget and quotas
- Operational Visibility — Check authenticated user profiles and verify system connectivity directly through your agent for instant BI reporting
The Databox MCP Server exposes 12 tools through the Vinkius. Connect it to Windsurf in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Databox tools available for Windsurf
When Windsurf connects to Databox through Vinkius, your AI agent gets direct access to every tool listed below — spanning kpi-tracking, data-visualization, real-time-dashboards, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new data source
Create a new dataset
Delete a dataset
Get authenticated user profile
Get details for a specific dataset
Get data storage stats
List all Databox accounts
List API activity logs
List data sources for an account
List metrics in a dataset
List all datasets
Ingest data into a dataset
Connect Databox to Windsurf via MCP
Follow these steps to wire Databox into Windsurf. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Open MCP Settings
Cmd+Shift+P and search "MCP"Add the server
mcp_config.jsonSave and reload
Start using Databox
Why Use Windsurf with the Databox MCP Server
Windsurf provides unique advantages when paired with Databox through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 12 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Databox + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Databox MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Databox and generate models, types, or handlers based on real API responses
Live debugging: query Databox tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Databox and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Databox data with Cascade's code generation to scaffold entire features in minutes
Example Prompts for Databox in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Databox immediately.
"List all datasets in my Databox account."
"Push record to 'ds_123': value 1500, date '2026-04-16'."
"Show my storage usage and API activity logs."
Troubleshooting Databox MCP Server with Windsurf
Common issues when connecting Databox to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Databox + Windsurf FAQ
Common questions about integrating Databox MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.