3,400+ MCP servers ready to use
Vinkius

Bring Pdf Processing
to Windsurf

Learn how to connect iLovePDF to Windsurf and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Get Pdf Download LinkGet Task StatusList Pdf TasksProcess Pdf TaskStart Pdf TaskUpload Pdf By Url

What is the iLovePDF MCP Server?

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

Built-in capabilities (6)

get_pdf_download_link

Get the processed PDF download link

get_task_status

Check the status of a PDF task

list_pdf_tasks

List recent PDF processing tasks

process_pdf_task

Start processing the PDF

start_pdf_task

g. compress, merge, split). Returns a task ID. Start a new PDF processing task

upload_pdf_by_url

Upload a PDF file via URL

Why Windsurf?

Windsurf's Cascade agent chains multiple iLovePDF tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 6 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.

  • Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention

  • Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively

  • JSON-based configuration means zero code changes: paste a URL, reload, and all 6 tools are immediately available

  • Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts

See it in action

iLovePDF in Windsurf

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

iLovePDF and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect iLovePDF to Windsurf through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for iLovePDF in Windsurf

The iLovePDF MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 6 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Windsurf 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, zero maintenance.

iLovePDF
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

The Vinkius Advantage

How Vinkius secures iLovePDF for Windsurf

Every tool call from Windsurf to the iLovePDF MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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.

02

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.

03

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).

04

How does Windsurf discover MCP tools?

Windsurf reads the mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.

05

Can Cascade chain multiple MCP tool calls?

Yes. Cascade is an agentic system. it can plan and execute multi-step workflows, calling several tools in sequence to accomplish complex tasks without manual prompting between steps.

06

Does Windsurf support multiple MCP servers?

Yes. Add as many servers as needed in mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.

07

Server not connecting

Check Settings → MCP for the server status. Try toggling it off and on.