How to Use the iLovePDF MCP in Mastra AI

Build reliable document workflows in Mastra AI with this MCP Server.

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Connect iLovePDF MCP to Mastra AI

Create your Vinkius account to connect iLovePDF to Mastra AI 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 Mastra AI

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Claude

Perplexity

Mastra AI workflow integration

You can chain document operations into your agentic pipelines. Use `start_pdf_task` to kick off a sequence and let Mastra handle the state. Error handling is built-in. If a task hits a snag, your agent can catch it and decide whether to retry or move to the next step.

Conditional file processing logic

Define branches based on file output. Your agents check `get_task_status` and decide if a document needs further splitting or merging. It makes your agents smarter about document management. You get full control over the lifecycle of every file that enters the pipeline.

Secure file access for agents

Your agents can secure download links using `get_pdf_download_link` once processing finishes. This keeps the file flow tight and predictable. Everything stays within your defined agentic boundaries. You aren't just processing files; you're automating the entire document lifecycle.

Setup guide

Set up iLovePDF MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All iLovePDF tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "ilovepdf-mcp-client",
  servers: {
    "ilovepdf-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "iLovePDF Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to iLovePDF tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent iLovePDF transactions"
);
console.log(result.text);

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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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect iLovePDF now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about iLovePDF MCP in Mastra AI

Add the server URL to your Mastra client configuration. The agent will auto-detect the tools and make them available for your workflows.

Yes, you can configure your workflow to retry failed tasks. Use the status tool to check if the retry was successful.

Absolutely. You can give your agents access to the full toolkit to handle document tasks without human input.

The server processes your documents in an ephemeral sandbox. It only holds the data long enough to complete your specific request.

You can loop through files and trigger processing for each one. The server manages the queue while your agent tracks the status.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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