How to Use the DOAJ MCP in Vercel AI SDK

Q: How do I perform a specific search in DOAJ using the AI SDK?

You pass your query string into the searcharticles tool. The AI SDK will then handle the execution and return the results as a structured JSON object for your app to render.

Q: Can the AI SDK trigger a bulk upload to DOAJ?

Yes, you call bulkcreatearticles within your tool definitions. Just make sure your publisher API key is correctly configured in your server environment.

Q: Does this require a persistent connection?

You initialize the connection with createMCPClient. Once the operation finishes, you simply call mcpClient.close() to clean up the resources.

Stream live research metadata directly into your React or Next.js components using the DOAJ MCP Server and AI SDK.

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Connect DOAJ MCP to Vercel AI SDK

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

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Real-time article discovery

Feed your UI with live search results from `search_articles`. Your users get instant data updates without staring at empty loading spinners while the agent works. This integration keeps your components reactive. When the agent pulls records, the stream populates your dashboard fields immediately.

Direct article management

Handle record updates right from your application logic using `update_article`. You can push changes to the database and see the results flow back into your state management. Keep your data fresh by using `get_article` to pull current records before applying modifications. It removes the need for manual database syncs.

Bulk ingestion for DOAJ

Execute `bulk_create_articles` to push large batches of research metadata in a single request. Keep your batch sizes near 600KB to stay within the API limits. This tool handles heavy lifting for your app. It is built for developers who need to sync entire publisher feeds without slowing down the user experience.

Setup guide

Set up DOAJ 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 DOAJ 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 DOAJ 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 DOAJ. 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 DOAJ MCP in Vercel AI SDK

You pass your query string into the `search_articles` tool. The AI SDK will then handle the execution and return the results as a structured JSON object for your app to render.

Yes, you call `bulk_create_articles` within your tool definitions. Just make sure your publisher API key is correctly configured in your server environment.

Not if you use streaming. The tool results arrive in real-time, allowing your frontend to display data as it comes in rather than waiting for the entire request to finish.

You initialize the connection with `createMCPClient`. Once the operation finishes, you simply call `mcpClient.close()` to clean up the resources.

The key stays on your server side, never reaching the browser. Your AI client interacts with the MCP server, which handles the secure transmission to the DOAJ endpoints.

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