# Keyword Extractor MCP for AI Agents AI Agent Connect

> Keyword Extractor identifies and ranks the most important terms in your text. It uses term frequency and density analysis to strip away noise and highlight what actually matters. It supports English, Portuguese, and Spanish, making it a go-to for SEO audits, content strategy, and linguistic research. Use it to turn messy blocks of text into organized data points instantly.

## Overview
- **Category:** analytics
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_pI6NO6ZkNzeuheRsFlhUgGz8DmheaeJNHApCwOY7/ai-agent-connect
- **Tags:** keywords, text-analysis, nlp, frequency, density

## Description

This Connector identifies the most relevant terms within any provided text by analyzing how often they appear and how much space they take up. It handles the heavy lifting of text analysis by filtering out common linguistic noise, using built-in stopword lists for English, Portuguese, and Spanish. You don't have to manually scan through a document to see what it's about; your AI client can pull a prioritized list of terms in seconds. Use it to see if you're over-using a specific phrase or to find the hidden themes in a large block of customer feedback. This is for anyone who needs to turn messy, qualitative data into organized insights without the manual effort of counting words or copying text into a spreadsheet. By including this in your Vinkius catalog, you give your agent a way to "read" between the lines of your content. It moves your workflow from just summarizing a page to actually understanding the vocabulary that defines it. You can check SEO requirements or study linguistic patterns with the data this tool provides. It works by looking at the frequency and density of terms, ensuring that common words like "the" or "is" don't clutter your results. This allows you to focus on the words that actually drive meaning and impact in your specific industry.

## Tools

### rank_keywords
Get a prioritized list of significant terms from a text block. This shows you what a document is about at a glance.

### calculate_term_density
See how often a specific word appears relative to the total text to check if you hit your keyword goals.

### verify_language_capability
Check if the Connector handles your language before you start to avoid errors with Portuguese or Spanish text.

## Prompt Examples

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

**Response:** 
```
The top keywords are:

| Keyword | Count |
| :--- | :--- |
| lazy | 2 |
| dog | 2 |
| fox | 1 |
| quick | 1 |
| brown | 1 |
| jumps | 1 |
| over | 1 |
```

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

**Response:** 
```
The term **apple** was found 2 times in your text.

Based on a total of 10 words, the calculated density is **0.5**.
```

**Prompt:** 
```
Is Spanish supported for keyword extraction?
```

**Response:** 
```
Yes, **Spanish (es)** is a supported language for keyword extraction.
```

## Capabilities

### Rank significant terms
Get a prioritized list of keywords to see which topics dominate your content.

### Measure word density
See exactly how often a specific phrase appears relative to the total text length.

### Verify language support
Confirm if the Connector can handle English, Portuguese, or Spanish before you start.

### Filter linguistic noise
Automatically remove common stopwords to focus on meaningful vocabulary.

### Analyze multi-language text
Process and analyze content across three major global languages.

## Use Cases

### SEO Density Audit
A marketer asks the agent to check if a blog post is over-optimized for a specific phrase. The agent uses the Connector to give a clear pass or fail on the keyword density.

### Sentiment Analysis
A researcher wants to know the most common complaints in a list of 500 customer reviews. The agent uses the Connector to pull a ranked list of the most frequent terms.

### Academic Word Study
A linguist needs to see the frequency of specific technical terms in a set of research papers. The agent uses the Connector to provide a data-backed map of the vocabulary.

### Content Gap Analysis
A writer wants to see if their new article covers the same keywords as a competitor. The agent uses the Connector to compare the most significant terms in both pieces.

## Benefits

- Use `rank_keywords` to see the most important terms in a block of text instantly without manual scanning.
- Get precise numbers with `calculate_term_density` to ensure you aren't over-optimizing your content.
- Save time by letting the Connector handle English, Portuguese, and Spanish stopword filtering automatically.
- Quickly verify if a language is supported with `verify_language_capability` before starting a large batch of analysis.
- Turn messy customer feedback into a clean list of core topics for your product team to review.

## How It Works

The bottom line is you get a clear, data-backed map of the core topics in any text block.

1. Paste the text you want to analyze into your AI client.
2. The Connector filters out common stopwords and calculates the frequency of each remaining word.
3. You get a ranked list of keywords or a specific density percentage for your chosen terms.

## Frequently Asked Questions

**What does Keyword Extractor do?**
Keyword Extractor identifies the most frequent and significant terms in any text you provide. It helps you quickly see what a document is actually about by filtering out common words like 'the' or 'and'.

**Does Keyword Extractor work for Spanish?**
Yes, the Connector supports English, Portuguese, and Spanish. You can use it to analyze content in any of these three languages.

**How does Keyword Extractor handle common words?**
It uses built-in stopword lists to automatically ignore common linguistic noise. This ensures your results focus on the words that actually carry meaning.

**Can I use Keyword Extractor for SEO?**
Yes, it's great for SEO audits. You can use it to check keyword density and ensure your content hits the right marks without over-optimizing.

**What happens when I use Keyword Extractor?**
Your AI client will process the text and return a ranked list of keywords or a specific density score. It turns messy text into organized data points instantly.

**Which languages are supported?**
The engine currently supports English (en), Portuguese (pt), and Spanish (es) through hardcoded stopword lists.

**How is keyword density calculated?**
Density is calculated by dividing the frequency of a specific term by the total count of all valid tokens (words that are not stopwords) in the text.

**Can I check if a language is supported before running analysis?**
Yes, you can use the `verify_language_capability` tool to confirm if a specific ISO 63                639-1 code is available for extraction.