How to Use the iLovePDF MCP in Cursor

Q: Can I use iLovePDF in Cursor to merge documents during a chat session?

Yes, you can ask the agent to merge files. It will run startpdftask with the merge parameter and combine your files behind the scenes.

Q: Does the iLovePDF integration in Cursor support local file paths?

No, this integration works with URLs. You will use uploadpdfbyurl to send files to the API for processing.

Q: How do I check if an iLovePDF task failed in Cursor?

Ask your agent to run gettaskstatus on your task ID. The tool returns the exact error code or success state directly in the chat panel.

Inject iLovePDF tools directly into your Cursor agent workflows to compress, merge, and edit documents while you write code.

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Connect iLovePDF MCP to Cursor

Create your Vinkius account to connect iLovePDF to Cursor 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 Cursor

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Trigger iLovePDF tasks directly from Cursor Agent mode

When you write code that handles documents, your Cursor agent uses `start_pdf_task` to run operations like compression or splitting in real time. This lets you test file workflows using actual API responses instead of writing mock data. The agent automatically handles the payload structure for you. It initiates the process and tracks execution without requiring you to switch windows to check progress.

Cursor handles remote document ingestion via MCP

Your developer environment stays clean because Cursor runs `upload_pdf_by_url` to feed remote assets straight to the server. You do not have to download large files to your local workspace just to run a test. Once the file lands on the server, the agent runs `process_pdf_task` to execute your requested changes. The entire pipeline runs asynchronously while you focus on writing your application logic.

Get secure downloads inside your Cursor workspace

Your agent pulls the finished assets by calling `get_pdf_download_link` as soon as the task status turns green. This injects the download URL directly into your open files or terminal output. You can also call `list_pdf_tasks` to double-check the history of your active session. This helps you debug complex multi-step document pipelines on this MCP Server without leaving your editor.

Setup guide

Set up iLovePDF MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the iLovePDF MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent iLovePDF transactions." If the MCP tools are loaded correctly, Cursor will call the iLovePDF tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "ilovepdf-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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 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.

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Common questions about iLovePDF MCP in Cursor

Create a .cursor/mcp.json file in your project root. Add the server details under the mcpServers key to let your Cursor agent access the tools.

Yes, you can ask the agent to merge files. It will run `start_pdf_task` with the merge parameter and combine your files behind the scenes.

No, this integration works with URLs. You will use `upload_pdf_by_url` to send files to the API for processing.

Ask your agent to run `get_task_status` on your task ID. The tool returns the exact error code or success state directly in the chat panel.

Your PDF files are encrypted in transit using standard TLS protocols. The execution environment on Vinkius is completely ephemeral, meaning no document data persists after your task completes.

Use it with your favorite AI tools

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