How to Use the Pinterest Ads MCP in Vercel AI SDK

Q: Does this MCP Server help Vercel AI SDK users optimize spend?

Yes. You can write logic to trigger pausecampaign when getaccountanalytics hits a specific cost threshold.

Q: Can I list Pinterest Ads assets in my Vercel AI SDK app?

Use listads to pull your current creative library. Your frontend can then render these Pins based on the metadata returned.

Build real-time ad dashboards with Vercel AI SDK and Pinterest Ads. Stream campaign metrics directly into your React components.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Pinterest Ads MCP to Vercel AI SDK

Create your Vinkius account to connect Pinterest Ads to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup Pinterest Ads with Vercel AI SDK

Ask AI about this MCP

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Live campaign performance tracking

Feed your UI live performance data using `get_campaign_analytics`. Your frontend displays spend and conversion metrics the moment the model pulls them. Stop waiting for static reports. This MCP Server lets your application react to Pinterest Ads fluctuations as they happen.

Manage ad groups from your interface

Call `list_adgroups` to let users inspect targeting or budgets directly in your dashboard. You get raw data structures ready for state management. Your code handles the logic while the model maps the intent. It's built for developers who need to move fast without manual platform switching.

Direct campaign status control

Trigger `enable_campaign` or `pause_campaign` based on your own custom business rules. Your app logic now controls ad delivery. Hard-code the thresholds that matter to your business. This MCP Server executes your decisions against the live Pinterest Ads API instantly.

Setup guide

Set up Pinterest Ads 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 Pinterest Ads 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 Pinterest Ads transactions",
});

console.log(text);
await mcpClient.close();

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Pinterest Ads. 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.