How to Use the Mediastack MCP in Vercel AI SDK

Q: How do I integrate Mediastack with Vercel AI SDK?

You connect by using the createMCPClient method in your edge functions. Once linked, you register the tools in your generateText call to start pulling data.

Q: How do I filter sources using Mediastack and Vercel AI SDK?

Call listsources first to get the list, then pass the relevant IDs into your search logic. This prevents your agent from wasting tokens on unwanted publishers.

Stream live news directly into your Vercel AI SDK interface without waiting for background tasks to finish.

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Connect Mediastack MCP to Vercel AI SDK

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

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Real-time news injection for Vercel AI SDK

Feed live article data into your UI components using `get_news`. By passing tool results into your stream, the end user sees content populate as the agent finds it. Stop relying on loading spinners. Your application displays news updates the moment the server returns the payload, keeping the interface feeling snappy and responsive.

Filter global news sources in your app

Use `list_sources` to map out available publishers before running your search. This helps you build dynamic dropdowns or configuration menus inside your Vercel AI SDK project. Knowing exactly which outlets are available prevents invalid queries. Your code handles source selection cleanly, ensuring the agent only targets publishers relevant to your specific user needs.

Historical data retrieval for chat

Pass specific date parameters to `get_news` to pull archives directly into your Vercel AI SDK chat history. It works just like a live query but targets past events. This gives your users a way to look back at trends. Since the data streams into the SDK, you can visualize the timeline in your frontend immediately.

Setup guide

Set up Mediastack 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 Mediastack 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 Mediastack transactions",
});

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

Get your connection token →

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Common questions about Mediastack MCP in Vercel AI SDK

You connect by using the `createMCPClient` method in your edge functions. Once linked, you register the tools in your `generateText` call to start pulling data.

Yes, you manage this by wrapping your client calls in logic that checks response headers. If you hit a limit, handle the error gracefully within your stream.

It does. Because the server returns results quickly, you can push that data straight to the user's screen without extra middleware.

Call `list_sources` first to get the list, then pass the relevant IDs into your search logic. This prevents your agent from wasting tokens on unwanted publishers.

Your key stays on the server-side, never exposed to the client. We recommend using environment variables to secure your credentials during the request cycle.

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