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Databox MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Create Data Source, Create Dataset, Delete Dataset, and more

Built by Vinkius GDPR 12 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Databox through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Databox app connector for OpenAI Agents SDK 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

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Databox Assistant",
            instructions=(
                "You help users interact with Databox. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Databox"
        )
        print(result.final_output)

asyncio.run(main())
Databox
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

The OpenAI Agents SDK auto-discovers all 12 tools from Databox through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Databox, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK

When OpenAI Agents SDK 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_data_source

Create a new data source

create_dataset

Create a new dataset

delete_dataset

Delete a dataset

get_current_user

Get authenticated user profile

get_dataset_details

Get details for a specific dataset

get_storage_statistics

Get data storage stats

list_accounts

List all Databox accounts

list_activity_logs

List API activity logs

list_data_sources

List data sources for an account

list_dataset_metrics

List metrics in a dataset

list_datasets

List all datasets

push_metrics_data

Ingest data into a dataset

Connect Databox to OpenAI Agents SDK via MCP

Follow these steps to wire Databox into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 12 tools from Databox

Why Use OpenAI Agents SDK with the Databox MCP Server

OpenAI Agents SDK provides unique advantages when paired with Databox through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Databox + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Databox MCP Server delivers measurable value.

01

Automated workflows: build agents that query Databox, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Databox, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Databox tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Databox to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Databox in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Databox immediately.

01

"List all datasets in my Databox account."

02

"Push record to 'ds_123': value 1500, date '2026-04-16'."

03

"Show my storage usage and API activity logs."

Troubleshooting Databox MCP Server with OpenAI Agents SDK

Common issues when connecting Databox to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Databox + OpenAI Agents SDK FAQ

Common questions about integrating Databox MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.