Omni BI Intelligence MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Omni BI Intelligence through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="Omni BI Intelligence Assistant",
instructions=(
"You help users interact with Omni BI Intelligence. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Omni BI Intelligence"
)
print(result.final_output)
asyncio.run(main())
* 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 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.
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.
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.
The Omni BI Intelligence MCP Server exposes 10 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.
How to Connect Omni BI Intelligence to OpenAI Agents SDK via MCP
Follow these steps to integrate the Omni BI Intelligence MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Omni BI Intelligence
Why Use OpenAI Agents SDK with the Omni BI Intelligence MCP Server
OpenAI Agents SDK provides unique advantages when paired with Omni BI Intelligence through the Model Context Protocol.
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
Omni BI Intelligence + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Omni BI Intelligence MCP Server delivers measurable value.
Automated workflows: build agents that query Omni BI Intelligence, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Omni BI Intelligence, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Omni BI Intelligence tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Omni BI Intelligence to resolve tickets, look up records, and update statuses without human intervention
Omni BI Intelligence MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Omni BI Intelligence to OpenAI Agents SDK via MCP:
export_query_results
Export data to file
get_dashboard_details
Get specific dashboard info
get_field_details
Get specific field info
get_model_details
Get data model metadata
list_bi_workspaces
List organization workspaces
list_dashboards
List BI dashboards
list_data_connections
List database connections
list_data_models
List Omni data models
list_resource_folders
List dashboard folders
run_omni_query
Run programmatic query
Example Prompts for Omni BI Intelligence in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Omni BI Intelligence immediately.
"List all our sales dashboards."
"Run a query on the 'Orders' model for fields 'total_price' and 'status'."
"What are the field definitions for the 'Customer Retention' model?"
Troubleshooting Omni BI Intelligence MCP Server with OpenAI Agents SDK
Common issues when connecting Omni BI Intelligence to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Omni BI Intelligence + OpenAI Agents SDK FAQ
Common questions about integrating Omni BI Intelligence MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
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?
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?
Connect Omni BI Intelligence with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Omni BI Intelligence to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.