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AI MCP Server

VeloxFactory can be operated directly through an AI assistant. A dedicated MCP Server — available as an add-on for VeloxFactory customers — exposes report configs, rendering, print dispatching, and user administration through the Model Context Protocol (MCP), so any MCP-compatible AI assistant can manage VeloxFactory through plain conversation instead of the frontend or hand-written API calls.

đŸ’Ŧ In short: if you can describe the task, your assistant can do it. No API documentation to read, no frontend clicks to remember — and not tied to any single AI provider.

What It Lets You Do

The MCP Server gives your assistant access to everything VeloxFactory can do — organised into a few practical areas.

Manage reports by talking, not clicking. Create, update, and organise report configs, connection configs, and report contexts through conversation. "Clone the KanBan label as a QA version and rename the fields" is a request your assistant can carry out directly.

Render and preview on demand. Ask for any report to be rendered with real or example data, and get a finished PDF back — opened automatically, ready to view. No need to log into the frontend or assemble an API request by hand.

Handle files without the round-trip. Uploading a new .jrxml template, swapping a logo, or attaching a resource image is as simple as pointing your assistant at the file on your computer. It takes care of the technical side.

Dispatch print jobs. Have a rendered document sent straight to a print task, check its status, or mark it as printed — the same dispatching VeloxFactory already does, just requested in a sentence.

Administer users and access. Create accounts, adjust permissions, reset passwords, or issue API tokens for new integrations — day-to-day administration handled conversationally.

Keep track of history. Pull up past renderings, review what was generated when and by whom, and clean up records that are no longer needed.


What This Looks Like in Practice

A few examples of the kind of request the MCP Server is built for:

  • "Render the A5 KanBan label for article 4561287-154 and show me the PDF."
  • "I designed a new label in Jaspersoft Studio — onboard it as a report config."
  • "Create a new user for our warehouse lead with admin rights."
  • "Print this delivery note to the shop floor printer and let me know once it's done."
  • "Show me every report config connected to the QA database."

Each of these would otherwise mean a frontend session or a small API script. With the MCP Server, they are a single message.


Who It Is For

The MCP Server is aimed at teams that already run VeloxFactory and want a faster way to handle the routine work around it — onboarding new report templates, day-to-day administration, one-off renderings, or quick checks on what has already been generated.

It is a natural fit for anyone comfortable working with an AI assistant who would rather describe a task than click through a frontend or write an API call — including teams without dedicated developer resources to spare on integration work. Since MCP is an open, provider-independent standard, it is not limited to a single AI product.


Getting It

The MCP Server is built and maintained by kiwi software as an add-on to a VeloxFactory license. It runs locally alongside your MCP-compatible AI assistant — Claude being one example — and connects to your VeloxFactory instance using your own API credentials. Nothing about your data passes through a third party.

Setup is handled together with kiwi software as part of onboarding, typically alongside the initial VeloxFactory rollout or added to an existing installation.

â„šī¸ Interested? Reach out via the Get VeloxFactory page, or try the live demo first at demo.veloxfactory.kiwi-software.dev.