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Askås MCP – new interface and new possibilities

Askås MCP connects external AI services like Claude and ChatGPT to Askås e-commerce platform. The AI can access data, functionalities and the entire Askås API schema – thereby not only understanding your e-commerce, but also working with it.

Askås MCP kopplar AI till Askås e-handelsplattform
AI
Askås MCP
Your e-commerce

What do you want your e-commerce to do?

MCP + API

AI meets your e-commerce

Askås Admin works just like usual. Here you work with products, web pages, campaigns, order management, and much more. With Askås MCP, you can also use an AI client like Claude, Gemini, or ChatGPT as a new interface to the platform.

Your new interface

Claude, Gemini, ChatGPT

Work with your e-commerce through your preferred AI client. Ask, create, analyze, and perform tasks through a regular conversation.

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The bridge

Askås MCP

MCP connects the AI client with Askås and provides the AI access to the platform's data and features via Askås API.

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Your e-commerce

Askås platform

Products, web pages, campaigns, orders, and other parts of e-commerce. The same platform and the same Admin you work with today.

You choose the AI client. Askås MCP creates the connection to your e-commerce.

Talk to your e-commerce

With Askås MCP, you ask questions in plain Swedish. The AI retrieves the answer from your store and can make changes on your behalf.

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Try a question

Access to the platform

The entire e-commerce within reach

Askås MCP can give the AI access to information and functionalities available via Askås API.

DATA

Products

Products, prices, variants, attributes and other product information.

CONTENT

Texts & contents

Product texts, categories, web pages and other content.

ORDERS

Orders

Search, retrieve and compile order information.

INSIGHTS

Statistics

Analyze data and identify patterns and trends.

API

Features

Use functionalities in Askås API to perform tasks.

AI

Combine data

Work with information from multiple parts of the platform simultaneously.

Questions and Answers

Frequently Asked Questions about Askås MCP

Here we have gathered answers to the questions we most often receive - what an MCP actually is, and how Askås MCP connects AI and e-commerce in practice.

What is an MCP?
MCP (Model Context Protocol) is a standard that allows an AI service, such as Claude, ChatGPT, or Gemini, to connect to external systems and retrieve data or perform actions in them – instead of just responding based on what it already knows. It can be seen as a common interface between the AI and the company's own systems, such as an e-commerce platform.
What does Askås MCP do?
Askås MCP connects AI services with Askås e-commerce platform. Through this, the AI can read data directly from e-commerce - products, orders, sales statistics - and also make changes, such as updating product texts or prices, all via natural language.
Do I need to know how to code to use Askås MCP?
No. The whole point is that you ask questions or give instructions in plain Swedish, and the AI translates that into the correct call to Askås API in the background. For example, you write "show products that are missing an image" instead of writing code or searching manually in the system.
Can Askås MCP both read and modify data in the store?
Yes. It can both retrieve information, such as sales figures or order lists, and perform updates directly in e-commerce, for example, update a product text or set a new price. The update is saved live in the store.
Contact Askås
Do you want to know more or book a demo?

0533-69 16 00   |   sales@askas.se
Weekdays 08–17  |  Lunch closed 12-13

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Build and change pages with a prompt

With Askås MCP, you describe the page you want or the change you want to make. The AI creates the layout, writes the texts, and saves the result in your store.

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For Developers

Build integrations with AI as your development partner

Askås MCP provides AI access to the entire Askås API schema. This allows the AI to understand how the API is structured, which endpoints are available, and what data is accessible.

Describe what the integration should do. The AI can use the API schema to identify the right parts of the API and help create the code needed.

01 Describe the need
02 The AI reads Askås API schema
03 Right endpoints and data are identified
04 Code and integration logic is created