Hypernym Semantic Analysis
Summary
This MCP server, developed by Hypernym AI, provides semantic text analysis and compression tools. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers two main functions: full semantic analysis of text including categorization and compression metrics, and direct text compression that maintains semantic meaning. The implementation focuses on preserving core meaning while maintaining readability, with configurable compression ratios and semantic similarity targets. It's particularly useful for applications requiring advanced text processing, enabling use cases such as content summarization, semantic search optimization, and efficient text storage without compromising on meaning.
Available Actions(2)
analyze_text
Full semantic analysis of text including categorization and compression metrics. Parameters: text (required), min_compression_ratio (optional), min_semantic_similarity (optional). Returns: Complete JSON analysis including semantic categories, compression metrics, and reconstructed text.
semantic_compression
Direct text compression that maintains semantic meaning. Parameters: text (required), min_compression_ratio (optional), min_semantic_similarity (optional). Returns: Only the compressed text that preserves core meaning while maintaining readability.
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