iLovePDF MCP Server with 6 Tools Ready for AI Agents
Merge, split, compress, and convert PDF files with a complete toolkit that handles every document processing need online. Unlock 6 tools ready out of the box. Connect this App Connector to instantly empower AI agents like Claude Code, Cursor, or any MCP-compatible client with advanced capabilities.
Ask AI about this App Connector
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What is the iLovePDF MCP Server?
The iLovePDF MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to iLovePDF via 6 tools. Merge, split, compress, and convert PDF files with a complete toolkit that handles every document processing need online. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (6)
Tools for your AI Agents to operate iLovePDF
Ask your AI agent "Merge these 3 PDF reports into a single document and compress it." and get the answer without opening a single dashboard. With 6 tools connected to real iLovePDF data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →The iLovePDF App Connector works with every AI agent you already use
…and any MCP-compatible client


















Use all 6 iLovePDF tools with your AI agents right now
Empower your AI agents to connect to iLovePDF and securely perform advanced actions on Vinkius infrastructure. Beyond a simple connection, you gain an advanced AI Gateway that provides complete visibility into agent activity, ensuring maximum governance and optimized token usage.
Get the processed PDF download link
Check the status of a PDF task
List recent PDF processing tasks
Start processing the PDF
g. compress, merge, split). Returns a task ID. Start a new PDF processing task
Upload a PDF file via URL
What the iLovePDF MCP Server unlocks
Connect your iLovePDF account to any AI agent and process PDF documents through natural conversation.
What you can do
- Task Management — Start PDF processing tasks (merge, split, compress, convert) and track progress
- File Upload — Upload PDF files by URL for processing
- Processing — Execute configured PDF tasks with customizable parameters
- Download — Retrieve processed PDF files via download links
- Status Tracking — Monitor task completion and get real-time progress updates
How it works
1. Subscribe to this server
2. Enter your iLovePDF Public Key and Secret Key from the developer portal
3. Start processing PDFs from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Document Teams — automate PDF merging, splitting, and compression workflows
- Developers — integrate PDF processing into AI-powered pipelines
- Operations — batch process documents without manual tools
Frequently asked questions about the iLovePDF MCP Server
Can I merge multiple PDF files into one?
Yes. Use start_pdf_task with task type 'merge', then upload each PDF with upload_pdf_by_url, and finally call process_pdf_task to execute. Use get_pdf_download_link to retrieve the merged result.
Does iLovePDF require two credentials?
Yes. iLovePDF uses a Public Key and Secret Key pair. The server exchanges these for a JWT token automatically via api.ilovepdf.com/v1. No manual token management required.
Can I track the status of a PDF processing task?
Yes. Use get_task_status with the task ID to check progress. Use list_pdf_tasks to see all tasks with their current status (pending, processing, completed, failed).






