Keyword Extractor

Keyword Extractor MCP Connector for Claude

A+

Extract and rank significant keywords from text using term frequency and density analysis.

3 tools Official Updated Jun 29, 2026 Official Vinkius Partner

The Keyword Extractor is an analytical engine designed to identify the most relevant terms within any provided text. By utilizing Term Frequency (TF) and keyword density calculations, it filters out linguistic noise using hardcoded stopword lists for English, Portuguese, and Spanish. You can use rank_keywords to get a prioritized list of terms, calculate_term_density to investigate the prevalence of a specific word, or verify_language_capability to check supported languages.

keywordstext-analysisnlpfrequencydensity

3 tools expose this connector's capabilities to your AI agent.

calculate_term_density

Analyzes a specific word's importance within a given text block

rank_keywords

Provides a prioritized list of keywords found within a text

verify_language_capability

Confirms whether the requested language is available

See how to talk to your AI agent using Keyword Extractor.

Extract the most important keywords from this text: 'The quick brown fox jumps over the lazy dog. The dog was very lazy.' using English.

The top keywords are: fox (1), quick (1), brown (1), jumps (1), over (1), lazy (2), dog (2).

What is the density of the word 'apple' in this text: 'Apple is a fruit. I love eating apple every day.' using English?

The term 'apple' was found 2 times, with a calculated density of 0.5.

Is Spanish supported for keyword extraction?

Yes, Spanish (es) is a supported language.

The engine currently supports English (en), Portuguese (pt), and Spanish (es) through hardcoded stopword lists.

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