How to Use the Adrecord MCP in Vercel AI SDK

Q: How does the Vercel AI SDK handle Adrecord program searches?

Your application triggers the listprograms tool based on user prompts. The SDK pipes that raw advertiser list back into your UI components as a continuous text stream.

Stream Adrecord affiliate data directly into your React or Next.js frontends using the Vercel AI SDK.

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Connect Adrecord MCP to Vercel AI SDK

Create your Vinkius account to connect Adrecord 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 Adrecord with Vercel AI SDK

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Stream Affiliate Data via Vercel AI SDK

Build dashboards where end users watch their Adrecord affiliate metrics appear instantly. Connect this MCP Server to your Edge Functions and let the AI stream raw transaction data straight into your UI components without loading spinners. Your agent calls `list_transactions` to pull sales and leads, then formats them into React components. You skip the manual API polling and give users a live view of their marketing performance.

Live Product Feed Integration

Retail frontends need instant access to advertiser inventory via the Adrecord network. Pass the `get_product_feed` tool to your streaming function, and your application pulls active merchant catalogs while the user types their search query. The MCP client handles the HTTP transport automatically. You get raw product metadata flowing into Svelte or Vue layouts exactly when the shopper needs it.

Program Discovery Workflows

Let creators search for new Adrecord brand partnerships through a conversational interface. Your agent triggers `list_programs` and `get_program_details` to find matching advertisers based on the user's specific niche. The data hits your frontend immediately. Users see commission rates and channel requirements populating on screen before the AI finishes its sentence.

Setup guide

Set up Adrecord 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 Adrecord 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 Adrecord 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 Adrecord. 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

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Common questions about Adrecord MCP in Vercel AI SDK

Use createMCPClient to define your MCP Server endpoint. Call mcpClient.tools() and pass the array directly to generateText or streamText. Always remember to call mcpClient.close() when the request finishes.

Yes, the SDK streams the MCP tool execution results from list_transactions straight to your React frontend. Your users watch their sales and leads populate row by row instead of staring at a blank screen.

The HTTP transport runs perfectly in edge environments. You pass the endpoint token in the headers, and the agent fetches affiliate data right from the edge node nearest to your user.

Your application triggers the list_programs tool based on user prompts. The SDK pipes that raw advertiser list back into your UI components as a continuous text stream.

Your transaction records and payout amounts never persist on our infrastructure. The server runs inside an ephemeral V8 Isolate Sandbox that shuts down immediately after returning your affiliate data.

Use it with your favorite AI tools

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

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