MCP Integration for shoe size recommendations

Seamless size recommendations in your chat bot with our remote MCP integration

Our Model Context Protocol (MCP) integration lets footwear retailers offer smart shoe size recommendations directly through chat bots on their online stores. Your customers find their perfect fit while chatting with your virtual assistant.

The GetSize Public API is fully documented and designed to be wrapped as an MCP server. You can build your own MCP server on top of it, or have us build one for you. Either way, the size recommendation engine and catalog stay hosted by us.

Ready to get started? Read the developer documentation, then contact us to enable your account.

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Step 1: Read the developer documentation

Browse the Public API docs to see what the integration can do, how sessions work, and how shoe identification is handled. No signup needed.

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Step 2: Contact us

Reach out to our team to discuss pricing and your integration goals.

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Step 3: We enable you on the platform

We provision a developer API key for your account and confirm the rate limits you need.

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Step 4: Build your own MCP server, or let us build it

Generate one from our OpenAPI spec, hand-build a tenant-aware server using the MCP integration guide, or ask us to build and host one for you.

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Step 5: Plug the MCP into your chatbot

Point your chatbot software at the MCP server. Your bot can now identify shoes and return personalized size recommendations in real time.