How to Use the iLovePDF MCP in Vercel AI SDK

Q: Can I list previous iLovePDF tasks in Vercel AI SDK?

Yes. Use the listpdftasks function to display a history of processed documents right in your dashboard.

Stream PDF processing directly into your Vercel AI SDK interface to keep users focused on the data.

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Connect iLovePDF MCP to Vercel AI SDK

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

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Direct PDF manipulation for Vercel AI SDK

You can trigger document workflows without leaving your TypeScript environment. Use `start_pdf_task` to initialize operations and pass the results straight into your stream. Your UI updates in real-time as the server works. You'll use `get_pdf_download_link` to render the final file directly to your user's browser.

Automated status tracking in React

Stop guessing if a file is ready. Your app uses `get_task_status` to track progress and notify your frontend components immediately. This MCP Server handles the heavy lifting behind the scenes. You just map the status output to your loading states and progress bars.

Remote file ingestion via URL

Pull documents from any web location using `upload_pdf_by_url`. This bypasses local file handling entirely, saving your server bandwidth. Your agents can grab remote PDFs and send them to `process_pdf_task` for instant compression or merging. It's built for high-performance edge functions.

Setup guide

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

Install the MCP package and point the client to your server URL. You'll register the tools in your SDK configuration to start calling them immediately.

Yes, but keep them under reasonable limits to maintain performance. You can use the URL upload tool to move files directly to the processing engine.

Yes. Use the `list_pdf_tasks` function to display a history of processed documents right in your dashboard.

Your files are processed in a secure environment. The server only touches the PDF data you explicitly pass for transformation tasks.

The task status will return an error code. You should handle this in your code to alert the user or retry the operation.

Use it with your favorite AI tools

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