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ZDNET's key takeaways
Even the best AI models are challenged to carry out tasks via MCP.
New benchmarks show models struggle when tasks become more complex.
More training of AI models is required that's specific to MCP use.
An emerging category of artificial intelligence middleware known as Model Context Protocol is meant to make generative AI programs such as chatbots bots more powerful by letting them connect with various resources, including packaged software such as databases.
Multiple studies, however, reveal that even the best AI models struggle to use Model Context Protocol. Top AI models such as Google's Gemini 5 require many, many rounds of interactions with the external programs, leading to long delays in the performance of the AI models.
Also: What is Model Context Protocol? The emerging standard bridging AI and data, explained
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