Hypernym Semantic Analysis
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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- monitoring
- Source
- PulseMCP
- Repository
- github.com/bmorphism/hypernym-mcp-server
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve Hypernym Semantic Analysis from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.