How to Use the Basis Technologies MCP in Vercel AI SDK

Q: How do I initialize the Basis Technologies MCP Server inside a Vercel AI SDK project?

Install @ai-sdk/mcp and use createMCPClient pointing to your Vinkius HTTP endpoint. Pass the tools directly into generateText or streamText to let your model fetch live DSP campaign data.

Q: Do I need to close the connection after running a query?

Yes, always call mcpClient.close() in your serverless or edge functions. This prevents connection leaks and ensures your Next.js API routes run efficiently.

Stream real-time Basis Technologies campaign performance data directly into your React frontends using this MCP Server and the Vercel AI SDK.

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Connect Basis Technologies MCP to Vercel AI SDK

Create your Vinkius account to connect Basis Technologies 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 Basis Technologies with Vercel AI SDK

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Live Basis Technologies dashboard streams via MCP Server

This Basis Technologies MCP Server exposes tools like `list_campaigns` and `get_campaign_performance` to feed live DSP metrics directly to your UI. Instead of waiting for a backend to resolve, your Vercel AI SDK client pulls current marketing spend and click-through rates on demand. You configure the server URL, call `mcpClient.tools()`, and let the edge function stream the raw campaign numbers. Users see their real-time ad performance load incrementally without typical page-refresh lag.

Instant ad creative audits at the edge

The `list_ads` and `get_ad` tools let your application inspect specific creative assets on the fly. By passing these tools directly to `streamText` in your Vercel AI SDK setup, you can build interface widgets that render ad previews as the model analyzes them. This means your marketing team gets immediate visual confirmation of active creatives alongside the model's performance suggestions. No more manual cross-referencing between your DSP dashboard and your code.

Direct brand and client lookups in Next.js

The `list_brands` and `list_clients` tools let you build fast, interactive dropdowns and search bars driven by your LLM. Your Vercel AI SDK code queries your Basis portfolio without loading heavy external libraries. Your application gets the exact client structure it needs with minimal latency. Just remember to invoke `mcpClient.close()` when the edge execution finishes to keep your serverless instances clean.

Setup guide

Set up Basis Technologies 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 Basis Technologies 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 Basis Technologies 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 Basis Technologies. 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 Basis Technologies MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and use `createMCPClient` pointing to your Vinkius HTTP endpoint. Pass the tools directly into `generateText` or `streamText` to let your model fetch live DSP campaign data.

Yes, that is the main strength of this setup. The model calls `get_campaign_performance` and streams the JSON payload directly into your React components without blocking the page.

Vinkius manages the auth layer for you. You only need one endpoint token from Vinkius, which you pass inside your `createMCPClient` transport configuration.

Yes, always call `mcpClient.close()` in your serverless or edge functions. This prevents connection leaks and ensures your Next.js API routes run efficiently.

Your campaign metrics and ad creative data run inside ephemeral V8 isolates on Vinkius. No marketing performance numbers or client portfolios are ever stored on disk or used for model training.

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