Shippo unveils AI shipping platform for agentic commerce

Shippo has launched an artificial intelligence-based shipping platform that lets AI agents turn natural language prompts into real-time shipping actions such as printing labels, tracking packages and adding insurance.

The product, called Shippo MCP, sits on top of the company’s existing multi-carrier shipping infrastructure. It connects AI assistants with shipping data and workflows inside eCommerce businesses.

Shippo positions the launch as the first agentic shipping platform for online merchants, marketplaces and commerce platforms. The company said the system delivers direct operational use of AI inside shipping and fulfilment teams.

Users type or speak natural language instructions into compatible AI agents. The agents then call Shippo MCP to carry out live shipping tasks inside existing systems.

Shippo said merchants can use everyday language to describe shipping needs. The AI layer then handles routing, rate selection and label generation in the background.

“We built Shippo to make shipping easier, more intuitive, and accessible to everyone,” said Laura Behrens Wu, CEO of Shippo. “AI gives us a powerful new way to advance that mission. With Shippo MCP, merchants can describe what they need using natural language, then instantly see and automatically run the workflows to accomplish it. It’s a smarter way to ship and allows anyone who sells online to be a shipping expert.”

The platform connects with AI agents such as Claude and Cursor. It also works with assistants that are built into commerce platforms.

Shippo said many businesses still struggle with the practical use of AI in daily operations. It said shipping is a clear use case because it involves repeatable processes and large volumes of data.

Shippo MCP extends the company’s multi-carrier API, which already integrates with more than 40 global carriers. Thousands of businesses use that API for label generation, tracking and returns.

The new layer exposes those functions through natural language interfaces. It also connects them with the company’s historical shipping data.

Shippo said its dataset spans more than a decade of parcel movements and rate information. It said MCP uses this data to automate decisions and surface trends.

For example, teams can ask questions about delivery performance or carrier spend using plain English prompts. The system then returns structured answers pulled from live and historical data.

The company said this approach simplifies complex shipping tasks. It also said it reduces the need for custom integrations and specialist logistics knowledge inside smaller teams.

Shippo has been testing MCP prototypes with selected customers. These include retailers and commerce platforms.

Beta users are running trials in areas such as conversational rate shopping. In these pilots, staff can ask an AI agent for the best rate and service options across carriers for a particular shipment.

Other explored use cases include automated return flows. AI agents can create return labels, schedule pick-ups and notify customers through simple prompts.

Shippo said customers are also testing MCP for customer service. This includes automating replies to “Where is my order?” queries using live tracking data.

In addition, some users are exploring patterns such as detecting missed deliveries and highlighting shipping anomalies. The AI agents surface these insights in natural language reports or dashboards.

These trials point to rising interest in so-called agentic workflows. In these scenarios, AI agents take actions on behalf of staff rather than only returning information.

Shippo highlighted four main groups of features for MCP. The first is natural language shipping actions. AI agents can validate addresses, compare rates, generate labels, create returns and retrieve customs documents from prompts.

The second is real-time shipping and fulfilment insights. Users can ask questions such as “What are our delivery trends this month?” or “How is our shipping spend distributed across carriers?”

The third area is customer experience. Agents can handle WISMO inquiries, send proactive tracking updates and respond to post-purchase questions.

The fourth is faster development of agentic workflows. Developers can prototype conversational bots for rate shopping or returns without building full traditional API integrations upfront.

Wix, which provides website and eCommerce tools for small businesses, is among the partners backing the move. Wix has developed its own MCP framework for AI agents inside its platform.

“Wix merchants are constantly looking for new ways to reduce operational friction while delivering a better customer experience, and Shippo’s agentic platform helps them do that,” said Shelly Cohen Murray, Head of Wix Business Development, Wix. “By allowing AI to translate everyday language into real shipping actions, it turns complex workflows into something any seller can handle. Wix’s own MCP framework is built on the belief that AI agents should be able to act directly on a merchant’s behalf, helping merchants move faster and operate smarter. Shippo MCP perfectly complements that vision, unlocking more seamless post-purchase experiences in one of the most critical parts of their business - shipping.”

Shippo said the launch is the first step in a wider plan. The company plans to build an AI layer across more parts of the logistics stack over time.

Shippo MCP is available now. Developers can start building against the new interfaces, and Shippo will host a webinar in January for teams that want to explore agentic commerce workflows in more detail.