How to Use the X Ads (Twitter) MCP in Vercel AI SDK

Q: How do I check ad performance with X Ads (Twitter) and Vercel AI SDK?

Just call getanalytics via the MCP Server. Since you're using Vercel AI SDK, the analytics data streams right into your front end as it's gathered, giving a live view of performance metrics.

Q: Can I list multiple ad accounts with X Ads (Twitter) and Vercel AI SDK?

Yes. Start by calling listadaccounts. The result gives you the IDs needed to then run specific checks, like getting detailed info using getadaccount, all streamed back to your application.

Q: What if I need to list promoted tweets with X Ads (Twitter) and Vercel AI SDK?

Use the listpromotedtweets tool. This function pulls a list of specific ad creatives. Because you're streaming, users see each tweet listing populate in real time as your agent reads them.

Q: Does this MCP Server handle campaign auditing for X Ads (Twitter) and Vercel AI SDK?

Absolutely. You use listcampaigns to find all active campaigns, then follow up with tools like listlineitems to audit the specific components within those campaigns.

Show off live ad data streaming directly in your UI with Vercel AI SDK.

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Connect X Ads (Twitter) MCP to Vercel AI SDK

Create your Vinkius account to connect X Ads (Twitter) 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 X Ads (Twitter) with Vercel AI SDK

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Real-Time Ad Data Streaming for ai-sdk

You can display campaign results instantly. Use `list_campaigns` and `get_analytics` to pull live performance metrics from X Ads (Twitter) into your React component, making the data appear as the AI processes it. This real-time approach works great for client dashboards. When a user triggers an ad audit, they see the results of calling tools like `list_ads` or `get_ad_account` stream directly to the screen—no loading spinner needed.

Auditing Accounts with ai-sdk

Quickly build an ad account overview tool. The `list_ad_accounts` function lets your agent pull a list of all available accounts, which you can then pass to `get_ad_account`. This shows the user's current portfolio at a glance. You can also check what funding methods are attached by running `list_funding_instruments`. These tools let developers build trust into their application because users see exactly which resources your agent is checking.

Listing Ad Components for ai-sdk

Need to break down complex ad structures? Use the MCP Server's listing functions. Calling `list_line_items` or `list_promoted_tweets` provides granular details about what’s running in X Ads (Twitter). This data streams right into your UI, letting you build deep-dive views. It also handles campaign organization well. You can list all active campaigns using `list_campaigns`, giving the user a clean, streamed view of everything that needs attention.

Setup guide

Set up X Ads (Twitter) 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 X Ads (Twitter) 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 X Ads (Twitter) 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 X Ads (Twitter). 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 X Ads (Twitter) MCP in Vercel AI SDK

Just call `get_analytics` via the MCP Server. Since you're using Vercel AI SDK, the analytics data streams right into your front end as it's gathered, giving a live view of performance metrics.

Yes. Start by calling `list_ad_accounts`. The result gives you the IDs needed to then run specific checks, like getting detailed info using `get_ad_account`, all streamed back to your application.

Use the `list_promoted_tweets` tool. This function pulls a list of specific ad creatives. Because you're streaming, users see each tweet listing populate in real time as your agent reads them.

Absolutely. You use `list_campaigns` to find all active campaigns, then follow up with tools like `list_line_items` to audit the specific components within those campaigns.

The server handles ad account details, campaign structures, line items, and performance analytics. The core data types are accounts and associated advertising records.

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