MCP For Claude Marketplace
LSI Keyword Finder

LSI Keyword Finder MCP Connector for Claude

A+

Extract semantically related keywords using co-occurrence, synonyms, and morphological variations.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

LSI Keyword Finder is a semantic extraction engine designed to identify meaningful terms within text. By analyzing extract_core_keywords, the tool identifies significant words based on frequency and stop-word filtering. The expand_keyword_network tool builds connections between words using co-occurrence analysis and pre-defined synonym mappings. Additionally, get_word_variations allows you to find morphological variants like singular and plural forms. This engine provides a deterministic way to understand semantic relationships without external API dependencies.

keywordslsisemantictext-analysisseo-tools

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

extract_core_keywords

Identifies the most significant and frequent meaningful terms within a provided body of text

get_word_variations

Identifies all known morphological variations for a given input

expand_keyword_network

Generates a list of semantically related keywords for a specific seed word

See how to talk to your AI agent using LSI Keyword Finder.

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

["quick", "brown", "fox", "jumps", "lazy", "dog"]

Find keywords related to 'apple' in the context: 'I ate a delicious red apple while sitting under the apple tree.'

["delicious", "red", "tree"]

What are the variations of the word 'keyword'?

["keywords"]

The `extract_core_keywords` tool processes your text by removing common stop words and then counting the frequency of the remaining terms. You can set a minimum frequency threshold to filter out less significant words.

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