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MCP

Your AI builds it. Nobody learns a new platform

Dropie handles the steps between collecting details and filing the signed copy. Your client gets one link.

What arrives

The process, described to the AI assistant you already use.

What moves

With Dropie connected through MCP, the assistant builds the steps here. You inspect the result, correct it and decide when to turn it on.

What leaves

Your process in Dropie, ready for your checks.

You do not have to learn another platform

Your process stays as complicated as it is. Nobody has to learn ours.

Automation projects rarely stall on the software. They stall because somebody has to learn it first. Bring the complicated one. Describing it is the part you do.

Today a department that needs one either waits for IT or pays a development studio.

Deciding what it should do

Days

Your process, your call. Nobody can shorten this for you and nobody should try.

Building it

An afternoon

The part that used to need a project, a budget and a queue.

Testing it on real files

Weeks

Worth every one, and unchanged. You do not put a client process live on a hunch.

An agent never gets a free hand. Every action is scoped to an allow list, can require your approval on the exact call, and is stamped in the audit trail. Attributable, not anonymous.

Documentation

What it refuses to do

The assistant needs a connection and the permissions you grant it. It cannot act outside that scope.

Your process stays as complicated as it is. Nobody has to learn ours. You still decide, check and approve.

One process is a good place to start

Choose one task you would like to stop chasing. Build it with your documents, on your terms.

MCP: build document workflows with AI | Dropie.io