Analyzes text documents by counting words and characters.
Word Counter provides a Model Context Protocol (MCP) server that enables Large Language Models (LLMs) to easily perform text analysis tasks. It offers a simple way to obtain document statistics without exposing the actual content to the LLM, enhancing privacy and security. By providing word and character counts, it empowers LLMs to better understand and process textual information effectively.
Características Principales
01Counts characters excluding spaces
02Counts words in documents
03Processes files directly without exposing content
04Counts total characters (including spaces)
057 GitHub stars
Casos de Uso
01Analyzing text length for content generation tasks
02Assessing text complexity for readability analysis
03Preprocessing text data for machine learning models