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ivanrublev-keyphrases

Extracts meaningful keyphrases from text documents using BERT-based sentence transformers and spaCy tokenization with customizable stop word filtering and configurable keyphrase counts for content analysis, document summarization, and SEO keyword research.

Score
22.5571 signal
Evidence
1 star
Last commit
as last read from GitHub; most reads are from 2 Sep 2026 or later
Listed

Install

No one-command install. Set it up from its source.

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What it is

MCP server Keyphrases, catalogued on PulseMCP. Extracts meaningful keyphrases from text documents using BERT-based sentence transformers and spaCy tokenization with customizable stop word filtering and configurable keyphrase counts for content analysis, document summarization, and SEO keyword research.

When to use it

Extracts meaningful keyphrases from text documents using BERT-based sentence transformers and spaCy tokenization with customizable stop word filtering and configurable keyphrase counts for content analysis, document summarization, and SEO keyword research.

Notes

Listed from the PulseMCP registry. The registry does not state a license. Check it before production use.