How to Use the TopOn / Mobvista MCP in Vercel AI SDK

Q: How do I check TopOn performance reporting using the Vercel AI SDK?

You call gettoponreporting via your agent. Because you're using the Vercel AI SDK, the results stream immediately into the UI, letting users see the data appear chunk by chunk as it arrives.

Q: What is the best way to get mintegral app stats with the Vercel AI SDK?

Use the getmintegralappstats tool. This action retrieves Mintegral's specific app metrics. The streaming capability of the Vercel AI SDK ensures that large data payloads don't freeze your user experience.

Q: Can I list TopOn applications and placements using the Vercel AI SDK?

Absolutely. You can call listtoponapps to get a full roster of apps, or use listtoponplacements to see every active ad spot. The results stream into your frontend live.

Q: Does the MCP Server support retrieving overall monetization summary with Vercel AI SDK?

Yes, calling getmonetizationsummary works perfectly. It pulls the total revenue picture, and streaming ensures that even a massive summary doesn't bog down your client-side performance.

Stream live monetization reports into your UI using the Vercel AI SDK.

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Connect TopOn / Mobvista MCP to Vercel AI SDK

Create your Vinkius account to connect TopOn / Mobvista 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.

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Setup TopOn / Mobvista with Vercel AI SDK

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Get real-time ad placement data with the MCP Server.

The `list_topon_placements` tool fetches all active TopOn ad placements. When you use this with Vercel AI SDK, users see the list populating instantly in your frontend, bypassing standard loading spinners. Another key action is running `get_topon_waterfall`. This retrieves a detailed placement waterfall that helps identify revenue bottlenecks, streaming the complex data structure directly to your user interface.

Monitor platform performance with Vercel AI SDK.

Need an overall view of how things are going? The `get_monetization_summary` tool delivers a high-level recap of revenue streams. Your agent can call this, and the resulting summary appears live in your application's UI. Furthermore, you can pull Mintegral performance data using `get_mintegral_reporting`. This makes it easy for your users to track key metrics without leaving your custom web app.

Manage ad offers and apps with the MCP Server.

Don't manually check every vendor. Calling `list_topon_apps` retrieves all TopOn applications currently configured. This simple list helps you build dynamic dropdowns in your client-side forms. You can also get a full inventory of available vendors by running `list_mintegral_offers`. The Vercel AI SDK streams this data, letting the user see the complete set of options appear as they are fetched.

Setup guide

Set up TopOn / Mobvista 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 TopOn / Mobvista 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 TopOn / Mobvista 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 TopOn / Mobvista. 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.

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Common questions about TopOn / Mobvista MCP in Vercel AI SDK

You call `get_topon_reporting` via your agent. Because you're using the Vercel AI SDK, the results stream immediately into the UI, letting users see the data appear chunk by chunk as it arrives.

Use the `get_mintegral_app_stats` tool. This action retrieves Mintegral's specific app metrics. The streaming capability of the Vercel AI SDK ensures that large data payloads don't freeze your user experience.

Absolutely. You can call `list_topon_apps` to get a full roster of apps, or use `list_topon_placements` to see every active ad spot. The results stream into your frontend live.

Yes, calling `get_monetization_summary` works perfectly. It pulls the total revenue picture, and streaming ensures that even a massive summary doesn't bog down your client-side performance.

This server handles monetization figures. When you call the tools, the agent accesses and streams overall revenue summary data, which is generally non-PII but must be handled securely.

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