소개
Large Language Models (LLMs) often struggle with character-level text analysis because they tokenize text into subwords rather than individual characters. MCP Character Tools provides a comprehensive suite of over 14 utilities designed to give LLMs 'character-level vision.' This server enables accurate tasks like counting specific letters, determining exact word lengths, analyzing letter frequencies, and even detecting palindromes, significantly enhancing an LLM's ability to perform detailed text manipulations that are typically hindered by tokenization. It ensures agents can correctly process character-specific queries, as demonstrated by accurately counting the number of 'r's in 'garlic'.
