Ometria 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 Ometria Intelligence through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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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 Ometria 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 Ometria Intelligence MCP Server
Connect your Ometria account to your AI agent and gain deep visibility into your customer life cycle and retail marketing performance through natural conversation.
The Vercel AI SDK gives every Ometria 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
- Customer Oversight — List and inspect customer profiles, including their attributes, segments, and lifetime value.
- Order Tracking — Access recent customer orders and transactions, including full metadata and status updates.
- Product Intelligence — View your entire product catalog and check specific item metadata and stock statuses.
- Segment Analysis — List audience segments defined in Ometria and retrieve member counts for targeting.
- Campaign Performance — Monitor email and automation campaigns and fetch real-time engagement statistics.
- Transactional Monitoring — View recent customer interactions and goal completions across your marketing funnel.
- Deep Inspection — Fetch complete metadata for specific contacts, orders, or campaigns using their unique IDs.
The Ometria 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 Ometria Intelligence to Vercel AI SDK via MCP
Follow these steps to integrate the Ometria 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 Ometria Intelligence and passes them to the LLM
Why Use Vercel AI SDK with the Ometria Intelligence MCP Server
Vercel AI SDK provides unique advantages when paired with Ometria 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 Ometria Intelligence integration everywhere
Built-in streaming UI primitives let you display Ometria 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
Ometria Intelligence + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Ometria Intelligence MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Ometria Intelligence in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Ometria Intelligence tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Ometria Intelligence capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Ometria Intelligence through natural language queries
Ometria Intelligence MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Ometria Intelligence to Vercel AI SDK via MCP:
get_campaign_stats
Get campaign performance stats
get_contact_details
Get specific contact info
get_order_details
Get specific order details
get_product_details
Get specific product info
get_segment_details
Get specific segment info
list_catalog_products
List product catalog
list_contacts
List customer contacts
list_customer_segments
List customer segments
list_marketing_campaigns
List marketing campaigns
list_orders
List customer orders
Example Prompts for Ometria Intelligence in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Ometria Intelligence immediately.
"List all active marketing campaigns."
"What is the status of order ID 'ord_98765'?"
"Show me the details for the 'High LTV' segment."
Troubleshooting Ometria Intelligence MCP Server with Vercel AI SDK
Common issues when connecting Ometria Intelligence to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpOmetria Intelligence + Vercel AI SDK FAQ
Common questions about integrating Ometria 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 Ometria 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 Ometria 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.