AI & automation
Just ask, and your shipping gets done
Parcelers works with AI assistants. Say "ship today's orders by the cheapest tracked service" and your assistant compares every carrier in the ecosystem, books the labels and sends the tracking, while you get on with your business. Nothing to install, nothing to learn, and the portal is always there when you would rather click.
What you can ask for
Everyday shipping, by request
Compare
"What's the cheapest way to send this to Madrid?": ranked, bookable prices from the whole carrier ecosystem in one answer.
Ship
"Book the best one and print the label.": label file, tracking number and customs paperwork arrive together.
Track
"Where's order #1042?": live status, with tracking events flowing back to your store and your customer.
Fulfil
"Pack and ship everything from last night.": parcels boxed and sized, pick lists for the warehouse, labels booked.
Stores
"Pull in today's Shopify orders.": orders sync in and tracking pushes back out across connected platforms.
You stay in charge
Everything runs under permissions you grant. Your assistant can only do what you allow, nothing more.
And as the ecosystem grows (returns, claims, customs, analytics) the things you can ask for grow with it.
For developers
Under the hood: a full MCP server
Bring your own agent
Parcelers exposes every capability as typed tools over the Model Context Protocol. Any MCP-capable client connects, you are not locked into one assistant, and there is no glue code or screen-scraping to maintain.
Typed and discoverable
Tools are self-describing with clear schemas and examples, so an agent can discover what is possible and call it correctly the first time: rate, label, track, fulfil, stores, all permissioned per tool.