How to Use the Commission Factory MCP in Vercel AI SDK

Q: How do I install the Commission Factory MCP Server in Vercel AI SDK?

Start by running npm install ai @ai-sdk/mcp in your project directory. Next, configure the client using createMCPClient with the Vinkius HTTP endpoint URL. From there, call mcpClient.tools() to fetch the tools and pass them into your streamText function.

Q: How do I stream Commission Factory transaction tables using Vercel AI SDK?

You map the output of listaffiliatetransactions directly to your UI components inside streamText. The Vercel AI SDK handles the data stream, updating the table rows on the client side as the JSON chunks arrive. This prevents your UI from freezing while loading large transaction histories.

Build real-time affiliate dashboards that stream Commission Factory transaction updates directly to your Next.js UI using Vercel AI SDK.

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Connect Commission Factory MCP to Vercel AI SDK

Create your Vinkius account to connect Commission Factory 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 Commission Factory with Vercel AI SDK

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Stream live performance data with Vercel AI SDK

Stop making users wait for heavy page reloads just to see their affiliate earnings. This MCP Server lets your application grab instant performance metrics via `get_performance_summary` and dump them straight into your streaming UI components. Your users see the numbers tick up in real time as the model processes the data. You don't need to write custom API polling loops or manage complex state machines on the frontend. Just pass the tool output directly to your UI generation helper. The server also exposes `list_affiliate_transactions` to let your interface display granular, line-by-line deal updates without a single loading spinner.

Automate merchant program discovery

Finding the right brands to promote usually involves clicking through endless dashboard menus. This integration allows your interface to query the network directly using `list_affiliate_merchants`. Your model can parse the entire list, filter for the highest-paying offers, and show them to your users instantly. Once you pinpoint a promising brand, the model calls `get_merchant_details` to pull down program specifics, commission rates, and terms. It gives you a clean way to build custom discovery tools that keep your publishers informed without leaving your app.

Deliver real-time promotional updates

Outdated coupon codes kill conversion rates and annoy your traffic. By hooking your application up to this MCP Server's `list_promotions` tool, you can let your model fetch active deals and discounts from joined merchants on demand. If a user asks for active offers, the model grabs the latest list and renders it immediately. It keeps your affiliate site accurate, helps your users find valid codes, and prevents wasted clicks on expired campaigns.

Setup guide

Set up Commission Factory 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 Commission Factory 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 Commission Factory 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 Commission Factory. 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 Commission Factory MCP in Vercel AI SDK

Start by running `npm install ai @ai-sdk/mcp` in your project directory. Next, configure the client using `createMCPClient` with the Vinkius HTTP endpoint URL. From there, call `mcpClient.tools()` to fetch the tools and pass them into your `streamText` function.

Yes, this MCP integration handles user-specific credentials securely. The client supports an `authProvider` configuration for OAuth, letting your application query merchant data on behalf of specific users. Make sure to call `mcpClient.close()` when your session finishes to clean up connections.

You map the output of `list_affiliate_transactions` directly to your UI components inside `streamText`. The Vercel AI SDK handles the data stream, updating the table rows on the client side as the JSON chunks arrive. This prevents your UI from freezing while loading large transaction histories.

It does. Because the communication relies on lightweight HTTP transport, you can run the client inside Edge runtimes without hitting cold-start bottlenecks. It keeps your affiliate dashboards fast and responsive globally.

Your sensitive affiliate transactions and commission totals are protected by Vinkius's zero-trust sandboxed environment. The platform handles your API tokens securely, meaning your raw credentials never touch the client browser or leak into the model's training data.

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