Beijing University of Post and Communications
RAG-MCP: Mitigating Prompt Bloat in LLM Tool Selection via Retrieval-Augmented Generation

Retrieval-Augmented Generation with Model Context Protocol (RAG-MCP) enables large language models to efficiently select from large sets of external tools by retrieving only relevant tool descriptions, reducing prompt token usage by 73% while maintaining tool selection accuracy across increasing tool pool sizes.

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