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.

Omni BI Intelligence MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Omni BI Intelligence
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Omni BI Intelligence through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

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

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Omni BI Intelligence "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Omni BI Intelligence?"
    )
    print(result.data)

asyncio.run(main())

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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 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.

Pydantic AI validates every Omni BI Intelligence tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Omni BI Intelligence MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Omni BI Intelligence with type-safe schemas

Why Use Pydantic AI with the Omni BI Intelligence MCP Server

Pydantic AI provides unique advantages when paired with Omni BI Intelligence through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Omni BI Intelligence integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Omni BI Intelligence connection logic from agent behavior for testable, maintainable code

Omni BI Intelligence + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Omni BI Intelligence MCP Server delivers measurable value.

Type-safe data pipelines: query Omni BI Intelligence with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Omni BI Intelligence tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Omni BI Intelligence and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Omni BI Intelligence responses and write comprehensive agent tests

Omni BI Intelligence MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Omni BI Intelligence to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Omni BI Intelligence to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Omni BI Intelligence + Pydantic AI FAQ

Common questions about integrating Omni BI Intelligence MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Omni BI Intelligence MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.