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🔆 MCP: Powering the Next Wave of AI Agents
The new standard for AI agents, xAI's grave mistakes, and upgraded infrastructure for enterprise solutions.
Allegra Guinan & Emma G Moller
May 22, 2025
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🗞️ Issue 71 // ⏱️ Read Time: 7 min
In this week's newsletter
What we’re talking about: Anthropic's Model Context Protocol (MCP), an open framework (meaning a public standard) enabling AI to dynamically access external context, including data sources, tools, and services.
How it’s relevant: MCP allows Large Language Models (LLMs) to go beyond their internal knowledge, retrieving real-time information and interacting with the external world through this standardized protocol to perform actions.
Why it matters: By providing a standardized way for AI to effectively interact with the external world, from accessing information to performing actions, MCP is laying the groundwork for more capable and integrated AI systems that can significantly impact how we work and live.
Hello 👋
If you've used tools like ChatGPT, you've interacted with a Large Language Model (LLM). These powerful AI models are a core technology behind many of the Generative AI (GenAI) systems you see today, great at processing and generating human-like text based on the massive data they were trained on.
However, even these seemingly intelligent LLMs have limitations. Without direct access to external tools and a standardized way to use them, they can't inherently perform actions in the real world or access information beyond their training set. This is where MCP comes in.
The Model Context Protocol (MCP) is an open standard developed by Anthropic that acts as a "universal connector" for AI applications. MCP provides a standardized way for LLMs and AI agents to interact with external tools, data sources, and systems, whether it’s a weather API, a CRM, or a custom analytics engine. This effectively strapped rockets onto LLMs in terms of intelligence and capability 🚀