Article Summary
The article demonstrates extending large language models (LLMs) with external tools and real-time data using Model Context Protocol (MCP).
It details deploying an LLM on Amazon SageMaker and integrating it with external systems.
The solution leverages MCP, introduced by Anthropic, to streamline LLM integration with databases, APIs, and proprietary tools.
LangChain is utilized for orchestration, enabling the invocation of custom tools via MCP.
The example showcases an MCP-powered 'Search tool' for real-time data retrieval, enhancing LLM capabilities.