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

main();
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About Digital Turbine MCP Server

Integrate Digital Turbine, the leading independent mobile growth platform, directly into your AI workflow. Manage your user acquisition campaigns, monitor app monetization performance, and track real-time revenue and install data using natural language.

The Vercel AI SDK gives every Digital Turbine 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

  • Campaign Oversight — List and retrieve detailed settings and performance metrics for all your growth and acquisition campaigns.
  • App Monetization Tracking — Monitor your monetized mobile apps, including ad unit settings, floor prices, and active placements.
  • Performance Analytics — Access high-level summaries of impressions, installs, and click-through rates (CTR).
  • Revenue Reporting — Retrieve detailed financial telemetry for specific date ranges across your mobile portfolio.

The Digital Turbine 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 Digital Turbine to Vercel AI SDK via MCP

Follow these steps to integrate the Digital Turbine 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 Digital Turbine and passes them to the LLM

Why Use Vercel AI SDK with the Digital Turbine MCP Server

Vercel AI SDK provides unique advantages when paired with Digital Turbine 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 Digital Turbine integration everywhere

03

Built-in streaming UI primitives let you display Digital Turbine 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

Digital Turbine + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Digital Turbine MCP Tools for Vercel AI SDK (10)

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

01

get_app_monetization_details

Get detailed monetization settings and status for a specific app

02

get_campaign_analytics

Get detailed settings and performance metrics for a specific campaign

03

get_performance_summary

Retrieve high-level performance metrics including installs and CTR

04

get_platform_metadata

Retrieve metadata and limits for your Digital Turbine account

05

get_revenue_report

Retrieve a revenue report for a specific date range

06

list_growth_campaigns

List all mobile growth and acquisition campaigns in your Digital Turbine account

07

list_high_engagement_campaigns

Identify campaigns with a CTR above a certain threshold (mock logic)

08

list_monetized_apps

List all mobile applications integrated for monetization

09

list_top_performing_apps

Identify the apps with the highest revenue in your account (mock logic)

10

search_campaigns_by_name

Search for a campaign using a name keyword

Example Prompts for Digital Turbine in Vercel AI SDK

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

01

"List all my active UA campaigns."

02

"Show me the revenue report for 'Game App X' from last week."

03

"What is the average CTR for our 'Summer Sale' campaign?"

Troubleshooting Digital Turbine MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Digital Turbine + Vercel AI SDK FAQ

Common questions about integrating Digital Turbine 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 Digital Turbine to Vercel AI SDK

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