# Note Word Count is a linguistic MCP. AI Agent Connect

> Note Word Count gives your AI client the ability to perform deep linguistic analysis on English text. Instead of guessing the length or complexity of a note, your agent can pull exact word counts, identify recurring themes through frequency checks, and measure vocabulary diversity with density scores. It turns raw text into structured data your agent can actually use to reason about content.

## Overview
- **Category:** productivity
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_enDW5J30nXfdqEgLNn7oHYir0IFSeiQgM2BZcuk5/ai-agent-connect
- **Tags:** word-count, text-analysis, linguistics, notes, vocabulary

## Description

You can stop asking your AI to guess how long a note is or what the main topics are. This MCP gives your agent direct access to the mathematical structure of your English text. If you are working with long-form notes, you can use it to check the total length or get a quick breakdown of the composition. It is built for tasks where precision matters, like checking if a piece of writing meets specific length requirements or identifying if a text is becoming repetitive. Your agent can use these metrics to evaluate the complexity of a note or to pull out the most important keywords without scanning the whole document manually. It is a straightforward way to add a layer of quantitative analysis to your text-based workflows.

## Tools

### get_linguistic_density
This tool calculates a linguistic density score to show how diverse the vocabulary is in a note.

### get_note_summary
This tool provides a high-level overview of a note, including total word count, unique word count, and the primary keyword.

### get_word_count
This tool returns the exact total number of words found in a note.

### get_word_frequency
This tool generates a list of every word in a note and how many times each one appears.

## Prompt Examples

**Prompt:** 
```
How many words are in note ID 12345?
```

**Response:** 
```
Note 12345 contains 452 words.
```

**Prompt:** 
```
What is the vocabulary diversity of note ID 98765?
```

**Response:** 
```
The linguistic density score for note 98765 is 0.65.
```

**Prompt:** 
```
Give me a summary of note ID 55555.
```

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

## Capabilities

### Text Length Verification
Your agent uses this to confirm if a note meets specific length constraints.

### Theme Identification
Your agent pulls word frequency data to find the most common topics in a text.

### Complexity Assessment
Your agent checks linguistic density to see how varied the vocabulary is.

### Content Summarization
Your agent gets a quick snapshot of a note's composition and key terms.

## Use Cases

### Draft Monitoring
Check the word count of a draft to ensure it stays within a required range.

### Topic Extraction
Use word frequency to see which subjects appear most often in a collection of notes.

### Writing Style Analysis
Measure linguistic density to compare the complexity of different writing samples.

### Quick Note Audits
Get a summary of a note's length and top keywords to decide if it needs more detail.

## Benefits

- Replaces guesswork with exact word and frequency counts.
- Provides a mathematical way to measure vocabulary diversity.
- Gives your agent a structured way to summarize note composition.
- Enables automated checking of text length and keyword density.

## How It Works

You connect the MCP to your client and then ask your agent to perform analysis on your notes.

1. Connect the Note Word Count MCP to your AI client via Vinkius.
2. Provide the agent with the ID of the note you want to analyze.
3. The agent calls the specific tool needed for the task.
4. The agent receives the linguistic data and presents it to you.

## Frequently Asked Questions

**What languages does this MCP support?**
This MCP is designed specifically for analyzing English text notes.

**How do I use this with Claude or Cursor?**
You connect to the MCP through the Vinkius platform, which hosts the tool for you. Once connected, your client can call the tools directly.

**Can the agent tell me the main topic of a note?**
Yes, the agent can use the note summary tool to find the top keyword or use word frequency to identify themes.

**What is linguistic density?**
It is a score that measures the diversity of the vocabulary used within a note.

**Do I need to host this myself?**
No, Vinkius hosts and manages the MCP for you, so it is ready to use immediately after connection.

**What languages are supported?**
This server is specialized for English text only to ensure metric accuracy.

**How do I check the word count of a specific note?**
You can use the `get_word_count` tool by providing the unique identifier of the note.

**Can I see which words are most common?**
Yes, the `get_word_frequency` tool returns a list of words and their occurrence counts.