Omni BI Intelligence MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Omni BI Intelligence through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Omni BI Intelligence, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Vercel AI SDK gives every Omni BI Intelligence tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the Omni BI Intelligence MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Omni BI Intelligence and passes them to the LLM
Why Use Vercel AI SDK with the Omni BI Intelligence MCP Server
Vercel AI SDK provides unique advantages when paired with Omni BI Intelligence through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Omni BI Intelligence integration everywhere
Built-in streaming UI primitives let you display Omni BI Intelligence tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Omni BI Intelligence + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Omni BI Intelligence MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Omni BI Intelligence in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Omni BI Intelligence tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Omni BI Intelligence capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Omni BI Intelligence through natural language queries
Omni BI Intelligence MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Omni BI Intelligence to Vercel AI 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting Omni BI Intelligence to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpOmni BI Intelligence + Vercel AI SDK FAQ
Common questions about integrating Omni BI Intelligence MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.