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Northbeam MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Northbeam through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
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 Northbeam, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* 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 Northbeam MCP Server

Connect your Northbeam account to your AI agent and gain deep insights into your marketing performance and attribution data through natural conversation.

The Vercel AI SDK gives every Northbeam 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

  • Metric Discovery — List all available performance metrics such as Attributed Revenue, Transactions, and Spend.
  • Data Breakdowns — Access the labels used to group your data, including Platform, Campaign, Ad Set, and more.
  • Attribution Modeling — View supported attribution models to understand how credit is assigned across touchpoints.
  • Programmatic Exports — Initialize new data exports for specific date ranges and sets of metrics.
  • Export Monitoring — Track the status of your active data exports and retrieve direct download URLs for results.
  • Workspace Oversight — Monitor active webhooks, scheduled recurring exports, and recent export history.
  • Account Insights — Access high-level configuration, dashboard settings, and authenticated account metadata.

The Northbeam 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 Northbeam to Vercel AI SDK via MCP

Follow these steps to integrate the Northbeam MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 10 tools from Northbeam and passes them to the LLM

Why Use Vercel AI SDK with the Northbeam MCP Server

Vercel AI SDK provides unique advantages when paired with Northbeam through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Northbeam integration everywhere

03

Built-in streaming UI primitives let you display Northbeam tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Northbeam + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Northbeam MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Northbeam in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Northbeam tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Northbeam capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Northbeam through natural language queries

Northbeam MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Northbeam to Vercel AI SDK via MCP:

01

create_data_export

Initialize a new data export

02

get_account_info

Get account metadata

03

get_dashboard_settings

Get workspace dashboard settings

04

get_export_status

Check data export status

05

list_attribution_models

g., Clicks only, Modeled). List supported attribution models

06

list_breakdowns

g., Platform, Campaign, Ad Set) in attribution reports. List available data breakdowns

07

list_metrics

g., Attributed Revenue, Transactions, Spend) available for export. List available attribution metrics

08

list_recent_exports

List recently completed exports

09

list_scheduled_exports

List scheduled data exports

10

list_webhooks

List active webhooks

Example Prompts for Northbeam in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Northbeam immediately.

01

"List all the performance metrics available for export in my Northbeam account."

02

"Check the status of data export ID 'exp_12345'."

03

"Show me my recent data export history."

Troubleshooting Northbeam MCP Server with Vercel AI SDK

Common issues when connecting Northbeam to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Northbeam + Vercel AI SDK FAQ

Common questions about integrating Northbeam MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Northbeam to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.