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Combine AI with real-time data (MCP)

AI is powerful and offers many possibilities, but it has one important limitation: the data on which models are trained is often not up to date. Especially with dynamic information such as prices, availability, or promotions, this can lead to inaccurate or outdated insights.

That’s why more and more companies use Scrape IT to collect up-to-date data on a daily basis and connect it directly to AI models.

We support this not only by collecting the right data, but also by setting up and integrating an MCP within existing AI models. This ensures that AI applications actually work with current, reliable information and deliver real value in practice.

AI with up-to-date market data

What if you combine an AI model with real-time pricing data from the internet?
You can.

We provide our datasets to AI models via an MCP (Model Context Protocol). This allows the AI to answer questions based on current, validated data instead of outdated training data.

The AI uses our MCP data as additional context to:

compare current prices
match products
provide better-founded recommendations

This keeps AI not only smart, but also relevant.

What is an MCP?

An MCP (Model Context Protocol) is a connection between your data and an AI model.

Through an MCP, the AI gains access while answering questions, to up-to-date and validated information such as:

daily pricing data
product and assortment information
availability by country or provider

The AI uses this data as context, combining its reasoning capabilities with real-time market information.

AI with up-to-date market data

What if you combine an AI model with real-time pricing data from the internet?
You can.

We provide our datasets to AI models via an MCP (Model Context Protocol). This allows the AI to answer questions based on current, validated data instead of outdated training data.

The AI uses our MCP data as additional context to:

compare current prices
match products
provide better-founded recommendations

This keeps AI not only smart, but also relevant.

What is an MCP?

An MCP (Model Context Protocol) is a connection between your data and an AI model.

Through an MCP, the AI gains access — while answering questions — to up-to-date and validated information such as:

daily pricing data
product and assortment information
availability by country or provider

The AI uses this data as context, combining its reasoning capabilities with real-time market information.

Example: lease car advice using MCP data

In this example, an AI model is connected to current lease pricing data.

A user indicates that they:

drive a maximum of 150 km per day
have specific preferences or constraints

Based on this, the model recommends:

a suitable annual mileage (for example, up to 40,000 km per year)
the corresponding current lease prices
a selection of cars that match this profile

An interesting aspect is that different AI models may arrive at different recommendations.
One model might suggest a Tesla Model Y, while another may recommend a Mercedes.

Just like human salespeople, recommendations can differ but the underlying data remains current and objective.

From data to real use cases

This way of working helps end users to:

discover products
compare options
make better choices based on their individual situation

This principle is broadly applicable, including in:

automotive
e-commerce and retail
telecom and subscriptions
energy and mobility
real estate and consumer comparison platforms

Scrape IT as the data foundation for AI

Scrape IT provides:

the collection of up-to-date data (daily or weekly)
the structuring and cleaning of datasets
data delivery via MCP for AI integrations
support in defining concrete use cases and applications

We don’t just deliver data. We also help make it understandable and usable.

Get everything you need with AI and real-time data (MCP)

All current market information clearly organized in one place, directly available for AI. Making decisions based on real, up-to-date data has never been easier.

Benefits of AI with MCP data

Always up-to-date and reliable information

AI models normally work with outdated training data. By connecting our datasets via an MCP, the AI uses daily updated prices, products, and availability, ensuring recommendations are based on the current market.

Better AI recommendations through real context

With MCP data, the AI receives additional context while answering questions. This enables the model not only to reason, but also to deliver concrete and relevant answers based on current, validated data.

Smart comparison and matching

The AI can compare and match products using real pricing and product data, even when products are not directly comparable. This makes it possible to deliver personalized and well-founded recommendations.

Applicable across multiple industries

This approach is suitable for a wide range of use cases, such as lease cars, retail, telecom, energy, and real estate. End users gain better insight, while businesses provide reliable and transparent AI-driven advice.

Fewer assumptions, better decisions

By feeding AI with up-to-date data, you avoid assumptions and outdated conclusions. This leads to better decision-making both for internal teams and for customers comparing products or services.

You’re in great company

We turn your data-scraping needs into results

Scrape IT is your trusted webscraping partner that not only provides technical expertise but also takes an ethical approach, allowing you to gain valuable insights and competitive advantages with confidence, while remaining fully compliant with legislation and the terms of use of the source websites.

More about us

Gertjan van Montfoort

CEO, software developer and surf dude
T +31(0)30 7371101
M +31(0)6 13217823
E gertjan@scrape-it.com

Roland Blommestein

Sales, administation and cyclist
T +31(0)30 7371101
E roland@scrape-it.com

Chrissie ten Brincke

Marketing, sales and world traveler
T +31(0)30 7371101
E chrissie@scrape-it.com

Reach out to us

Would you like to learn more about data scraping or get support with integrating MCP data into an AI model?

Feel free to contact us!