Keyphrases
A keyphrase extraction server that uses BERT-based sentence transformers and spaCy tokenization to identify and extract meaningful keyphrases from text documents. Built by Ivan Rublev, it leverages the KeyBERT library with multilingual MiniLM models for semantic understanding and supports customizable stop word filtering, configurable keyphrase counts, and GPU acceleration when available. The implementation includes comprehensive file access controls through directory allowlists, handles multiple text formats, and provides both CLI and HTTP server modes with Docker deployment support. Useful for content analysis, document summarization, SEO keyword research, or any application requiring automated extraction of key concepts from textual content.
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
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/ivanrublev/keyphrases-mcp
- Author type
- human
- Updated
- 2026-04-30
Use via MCP
Resolve Keyphrases 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.