4.9
Your catalog and order data available inside ChatGPT and Claude, so customers can check stock and reorder without leaving the assistant.
An MCP app is a service that puts your business inside an AI assistant. It is built on the Model Context Protocol, an open standard that lets ChatGPT and Claude read live data and carry out actions in external systems, which means a shopper can see pricing and reorder without leaving the chat.
Read the full technical guide in What is MCP.
800+
eCommerce integrations built
6+
Commerce platforms supported
10–15
Days to a live Launchpad
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Shoppers are already asking assistants what to buy. Without an MCP app, an assistant can only repeat what it found on your website, and it cannot see a live price or a customer's account.
Assistants describe your products from pages they crawled months ago, including items you no longer stock and prices you have since changed.
A returning customer cannot see their contract pricing or rebuild a previous cart, so the assistant sends them back to the website to start again.
When an assistant can complete the task inside the chat for one brand and not another, the brand it can act for is the one recommended.
An MCP app shows a defined set of actions, and you decide which ones. Each is connected to the system that owns the data, so an answer in chat matches what your store would show.
Which of these workflows should your first ChatGPT App run?
Most brands begin with Launchpad to prove the connection, then extend once the internal case is made.
Every package follows the same sequence, with the difference in how far it goes. The server is built first, because nothing else can be tested until the assistant can read your real data.
We agree which questions and tasks the app should handle, and which systems hold the data behind each one.
The server is built on our MCP Core and the connector pack for your platform, then connected to your catalog and order systems.
The cards and flows customers see inside the assistant are designed against your brand using the Widget Kit, so replies are visual.
We handle the submission process, then monitor the first weeks of live traffic and tune the actions according to what people ask.
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Tell us your platform and what your customers ask for most. We'll come back with an app idea built on your stack, the systems it connects to, and a realistic timeline. No commitment.
They solve different problems. AI search optimization gets your brand mentioned when someone asks an assistant for a recommendation. An MCP app lets that person then check their pricing and buy without leaving the chat. Most brands need the visibility first and the app once that traffic is worth converting.
Adobe Commerce, Shopify, BigCommerce, commercetools, Salesforce Commerce, SAP Commerce, and WooCommerce, plus the ERP, CRM, PIM, and OMS behind them. A Magento 2 and Hyvä module already exists. For other systems we build the connector as part of the project.
We do, under a monthly support package. Assistants change their interfaces and rules often, and your catalog changes constantly, so an app left alone degrades. Support covers monitoring, action tuning against real questions, and updates when the assistant platforms change.
ChatGPT and Claude both support MCP, and one server serves both. ChatGPT reaches the larger consumer audience through its Apps SDK, while Claude is more common in B2B and internal use. We build the server once and configure it per assistant, so the second one costs a fraction of the first.
A server your team can test is the fastest milestone. A customer-facing app also has to pass the assistant platform's submission review, which adds time outside our control. We build the submission into the Pilot and Suite packages and manage it for you, including the changes reviewers ask for.
Tell us which platform your store is on and what you would want a customer to be able to do inside ChatGPT or Claude. We will come back with the package that fits and the actions it would cover.
Prefer to talk now? Book a call straight away, or email us at: [email protected]
We will review your platform and data access, then tell you which package fits and what it would cover.