Bring Data Exploration
to OpenAI Agents SDK
Learn how to connect Omni BI Intelligence to OpenAI Agents SDK and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for Subscribers
What is the Omni BI Intelligence MCP Server?
Connect your Omni BI (omni.co) account to your AI agent and gain deep insights into your organization's data through natural conversation and programmatic query execution.
What you can do
- Dashboard Oversight — List all available BI dashboards and retrieve detailed layout and component metadata.
- Data Model Intelligence — Access the semantic layer to list models and inspect specific field definitions and logic.
- Programmatic Queries — Execute custom queries against your data models directly from the chat and view results.
- Resource Management — Browse workspaces, folders, and projects to stay organized within your BI instance.
- Connection Monitoring — List all connected databases and data sources integrated with Omni.
- Data Export — Generate temporary export links for query results in CSV, JSON, or Excel formats.
- Deep Inspection — Fetch complete metadata for specific fields, dashboards, or data models using their unique IDs.
How it works
1. Subscribe to this server
2. Enter your Omni BI Instance URL and API Key (Bearer Token)
3. Start exploring your business intelligence from Claude, Cursor, or any MCP client
Who is this for?
- Data Analysts — quickly check model field logic or run ad-hoc queries without opening the UI.
- Business Leads — monitor key dashboard metrics and organization workspaces through natural language.
- Operations Teams — automate the retrieval of data exports and model metadata for reporting.
Built-in capabilities (10)
Export data to file
Get specific dashboard info
Get specific field info
Get data model metadata
List organization workspaces
List BI dashboards
List database connections
List Omni data models
List dashboard folders
Run programmatic query
Why OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 10 tools from Omni BI Intelligence through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Omni BI Intelligence, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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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
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Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Omni BI Intelligence in OpenAI Agents SDK
Omni BI Intelligence and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Omni BI Intelligence 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.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Omni BI Intelligence in OpenAI Agents SDK
The Omni BI Intelligence 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 10 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.
* 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
How Vinkius secures
Omni BI Intelligence for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the Omni BI Intelligence MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I get an Omni BI API Key?
Log in to your Omni instance, navigate to user settings or organization settings, and look for the API Tokens section to generate a new token.
Can I run raw SQL queries?
This implementation uses the run_omni_query tool which interacts with your defined data models (semantic layer). Raw SQL access depends on your specific model configuration in Omni.
What formats are supported for data export?
The export_query_results tool supports CSV, JSON, and XLSX formats. You will receive a temporary URL to download the requested file.
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.
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.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.