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 LangChain 10 tools — connect in under 2 minutes

Name: Omni BI Intelligence
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Omni BI Intelligence through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "omni-bi-intelligence": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Omni BI Intelligence, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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

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.

LangChain's ecosystem of 500+ components combines seamlessly with Omni BI Intelligence through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Omni BI Intelligence via MCP

Why Use LangChain with the Omni BI Intelligence MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Omni BI Intelligence MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Omni BI Intelligence queries for multi-turn workflows

Omni BI Intelligence + LangChain Use Cases

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

RAG with live data: combine Omni BI Intelligence tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Omni BI Intelligence, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Omni BI Intelligence tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Omni BI Intelligence tool call, measure latency, and optimize your agent's performance

Omni BI Intelligence MCP Tools for LangChain (10)

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

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Omni BI Intelligence + LangChain FAQ

Common questions about integrating Omni BI Intelligence MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.