Note Word Count

Note Word Count MCP Connector for Claude

A+

Calculate word counts, frequencies, and linguistic density for English notes.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides precise linguistic metrics for English text notes. It allows AI agents to analyze text structure through tools like get_word_count to find total length, get_word_frequency to identify key themes, get_linguistic_density to measure vocabulary diversity, and get_note_summary for a high-level overview of a note's composition.

word-counttext-analysislinguisticsnotesvocabulary

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

get_linguistic_density

Returns the linguistic density score of a note

get_note_summary

Returns a summary of a note including total words, unique words, and top keyword

get_word_count

Returns the total number of words in a note

get_word_frequency

Returns a list of words and their frequencies in a note

See how to talk to your AI agent using Note Word Count.

How many words are in note ID 12345?

Note 12345 contains 452 words.

What is the vocabulary diversity of note ID 98765?

The linguistic density score for note 98765 is 0.65.

Give me a summary of note ID 55555.

Note 55555 has 120 total words, 85 unique words, and the top keyword is 'analysis'.

This server is specialized for English text only to ensure metric accuracy.

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