How to Use the Northbeam MCP in Vercel AI SDK

Q: How do I fetch Northbeam metrics using the AI SDK?

You initialize the client and call listmetrics. The SDK handles the transport, and the results appear as structured JSON ready for your UI.

Q: Can the AI SDK manage Northbeam exports?

Yes. You trigger createdataexport and track progress with getexportstatus. It is a simple two-step process built for your workflow.

Stream Northbeam attribution data directly into your AI SDK interfaces for real-time marketing insights.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Northbeam MCP to Vercel AI SDK

Create your Vinkius account to connect Northbeam to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Northbeam with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Real-time attribution data streaming

Feed your UI live metrics without waiting for slow API responses. You use `list_metrics` to pull ROAS or revenue data and push it straight into your frontend components. This keeps your users informed. The data arrives as the agent processes it, so your dashboard updates instantly.

Configure exports through your AI SDK

Automate your data pipelines by triggering `create_data_export` directly from your application code. You don't need to leave your environment to get the reports you need. Checking the work is just as fast. You use `get_export_status` to verify that your data is ready for the next step in your pipeline.

Sync Northbeam settings with your agent

Query `get_dashboard_settings` to ensure your agent understands the current workspace configuration. This aligns the agent's logic with your actual account setup. It avoids errors caused by outdated assumptions. Your agent gets the right context immediately, every single time.

Setup guide

Set up Northbeam MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Northbeam tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Northbeam transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Northbeam. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Northbeam now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Northbeam MCP in Vercel AI SDK

You initialize the client and call `list_metrics`. The SDK handles the transport, and the results appear as structured JSON ready for your UI.

Yes. You trigger `create_data_export` and track progress with `get_export_status`. It is a simple two-step process built for your workflow.

Absolutely. Since the MCP server communicates over standard HTTP, your edge functions can pull data from Northbeam without latency issues.

Your data stays in your infrastructure. The MCP server acts as a pass-through, and your AI SDK client processes the raw stream locally.

The connection is scoped to your specific endpoint token. Only your agent can request `list_attribution_models` or other data, ensuring your attribution logs stay private.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript