# Hypernym Semantic Analysis

> Use this tool when you need to analyze and compress text while preserving its semantic meaning, solving problems such as inefficient text storage and ineffective content summarization. It takes in text inputs and outputs compressed text with configurable ratios and similarity targets, enabling use cases like semantic search optimization. Ideal for applications requiring advanced text processing, this tool provides core functionality for categorization, compression metrics, and direct text compression.

Canonical page: https://skillsregistry.net/skills/hypernym-semantic-analysis  
JSON: https://api.skillsregistry.net/v1/skills/hypernym-semantic-analysis

## Description

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.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/hypernym-semantic-analysis)
- **Repository:** <https://github.com/bmorphism/hypernym-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "hypernym-semantic-analysis"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hypernym-semantic-analysis` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hypernym-semantic-analysis/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt