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Enriching AI With Real-Time Insights via MCP

As each Large Language Model (LLM) has a training cut-off-date, their accuracy is highly impacted when real-time or future data is requested. This phenomenon is observed even in cases when users write thoroughly engineered prompts because the answers are generated from items predicted based on a static knowledge foundation. Such a situation is not always acceptable. To overcome this, AI assistants (chatbots) are now being enhanced with Internet access, which allows them to articulate more relevant and up-to-date “opinions”.

In the case of Anthropic, as of April 2025, web search has been made available to all Claude AI paid plans. This is definitely a step forward, as the pieces of information received by users can now be decorated with additional “contemporary” details and thus, their accuracy increased.

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