This article explores three distinct approaches for integrating large language models (LLMs) with external systems: MCP, tool use, and function calling. It aims to clarify the differences between these architectures and how they address the challenge of connecting LLMs to the broader digital ecosystem. The guide provides insights into the underlying mechanisms and potential applications of each integration method. AI
IMPACT Clarifies key methods for connecting LLMs to external systems, aiding developers in choosing the right integration architecture.
RANK_REASON The cluster contains a technical paper explaining different LLM integration methods. [lever_c_demoted from research: ic=1 ai=1.0]
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