3,400+ MCP servers ready to use
Vinkius
O

Bring Kpi Tracking
to OpenAI Agents SDK

Learn how to connect Databox to OpenAI Agents SDK and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Create Data SourceCreate DatasetDelete DatasetGet Current UserGet Dataset DetailsGet Storage StatisticsList AccountsList Activity LogsList Data SourcesList Dataset MetricsList DatasetsPush Metrics Data
Use with Your AI Agent
Ask AI about this MCP Server
ChatGPT Claude Perplexity

What is the 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.

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

How it works

1. Subscribe to this server
2. Retrieve your API Key (v1) from your Databox dashboard (Account Settings > API Tokens)
3. Start pushing your business metrics and managing datasets from Claude, Cursor, or any MCP client

No more manual metric logging or digging through complex SQL transformations in the dashboard. Your AI acts as your dedicated data engineer and BI coordinator.

Who is this for?

  • Data Analysts — instantly ingest new data points and verify dataset structures using natural language commands
  • Marketing & Sales Ops — automate the reporting of custom metrics and monitor storage limits without leaving your workspace
  • Operations Leads — track API activity logs and manage data source connections through simple AI queries

Built-in capabilities (12)

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

Why OpenAI Agents SDK?

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.

  • —

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

  • —

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

  • —

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

  • —

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

O
See it in action

Databox in OpenAI Agents SDK

AI Agent→Vinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Databox and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect Databox to OpenAI Agents SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Use with Your AI Agent View step-by-step setup guide for OpenAI Agents SDK →
Enterprise Security

Why teams choose Vinkius for Databox in OpenAI Agents SDK

The Databox 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in OpenAI Agents SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Use with Your AI Agent View full Databox details →
Databox
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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

The Vinkius Advantage

How Vinkius secures Databox for OpenAI Agents SDK

Every tool call from OpenAI Agents SDK to the Databox MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

How do I find my Databox API Key?

Log in to your account, navigate to Account Settings > API Tokens, and copy your unique v1 API Key.

02

Can I create new datasets via AI?

Yes! Use the create_dataset tool. You'll need to specify a title, a source ID, and an array of primary keys for the table structure.

03

Does it support real-time data pushing?

The push_metrics_data tool allows for immediate ingestion of data records, making them available for visualization in Databox instantly.

04

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.

05

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.

06

Does the SDK support streaming responses?

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

07

MCPServerStreamableHttp not found

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

08

Agent not calling tools

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