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Model Context Protocol (MCP)

🔧 What is the Model Context Protocol (MCP)?
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As language models are used more and more in real-world applications, a new standard emerges: MCP (Model Context Protocol).

🧠 What is it for?
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MCP proposes a clear and structured way to organize the context given to a model so that responses are more accurate, safe, and useful.

💬 Example:
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Instead of sending an LLM a long block of text, with MCP we can clearly separate things such as:

  • Who the user is
  • What task is to be performed
  • What information the model should consider
  • What rules it must follow when responding

🌍 Why does it matter?
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Because using context well improves the quality of responses. Additionally, it allows standardizing how models interact with other apps or systems.

📌 In summary
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MCP is another step toward more controllable, reusable, and secure AI.

Also published on LinkedIn.
Juan Pedro Bretti Mandarano
Author
Juan Pedro Bretti Mandarano