"Even though it's really only been available in the world for about a year, developers and enterprises are already embracing the model context protocol, MCP, as a favoured way for AI models to interact with data and trigger real-world actions. But Tomicevic provides some colour and says that initially, there was some scepticism because just one vendor, Anthropic, was behind it... and the early version was understandably fairly basic."
"But since then, adoption has grown significantly. Many model suppliers are building MCP support so their data and actions can be used by LLMs. Also, frameworks such as LangChain have adopted it. Some engineering teams use MCP to query data from the knowledge graphs that companies like Memgraph help them build. But interest is now expanding beyond the graph ecosystem, with teams seeing MCP as an accessible bridge into their LLM environments."
MCP is an open standard released by Anthropic in late 2024 that simplifies AI model connections to external data, APIs, and services. It provides a universal framework capable of interconnecting with language models of any size. Developers, enterprises, and model suppliers have adopted MCP rapidly, and frameworks such as LangChain include support. Engineering teams use MCP to query knowledge graphs and enable LLM-driven actions on real-world systems. Dominik Tomicevic supports the protocol but warns it is not a stand-alone solution for every enterprise AI challenge. He cautions that models must understand what they query and that inadequate planning and loose use can introduce security vulnerabilities.
Read at Techzine Global
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