# Keyword Extractor MCP for AI Agents MCP

> The Keyword Extractor analyzes any body of text to pinpoint its core themes. It uses advanced term frequency and density analysis to identify, rank, and quantify the most significant words. Whether you're refining a draft or analyzing market data, this MCP tells you exactly which terms matter most in your content, filtering out filler language instantly.

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

## Description

Writing good copy means knowing what words actually carry weight. This MCP helps you understand the structural backbone of any text by identifying and ranking its key vocabulary. It goes beyond simple word counts, using term frequency (TF) and density calculations to filter out linguistic noise—like common articles or filler phrases. You can run specific checks to see how prevalent a single word is within a whole document, or get a prioritized list of the top themes. When you connect this MCP via Vinkius, your AI client gains an analytical layer, letting it stop guessing and start analyzing content depth instantly. It’s like having a dedicated editorial analyst running in the background, ready to tell you exactly which words drive the meaning.

## Tools

### calculate_term_density
Determines the specific importance and prevalence of a single word within a provided text sample.

### rank_keywords
Generates an instantly prioritized, ranked list showing the most important keywords found in any given text block.

### verify_language_capability
Checks if the MCP supports the specific language you want to analyze for keyword extraction.

## Prompt Examples

**Prompt:** 
```
Extract the most important keywords from this long transcript about AI ethics using English.
```

**Response:** 
```
**Top Keywords Found:**

1. Ethical Guidelines (Density: 0.8)
2. Bias Mitigation (Rank: 5, Density: 0.6)
3. Data Privacy (Rank: 4, Density: 0.5)
4. Transparency (Density: 0.4)
```

**Prompt:** 
```
What is the density of 'renewable energy' in this article about climate change?
```

**Response:** 
```
*Analysis Results for 'renewable energy':*

* **Total Count:** 9 instances
* **Calculated Density:** 0.75 (High)
* **Interpretation:** The term appears frequently and is central to the text’s discussion, suggesting strong thematic focus.
```

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

**Response:** 
```
**Language Capability Check:**

✅ Yes. Spanish (es) is a fully supported language. You can analyze content in Spanish immediately.
```

## Capabilities

### Prioritize key concepts
It generates a ranked list of terms found in your text, so you know which keywords are most important right away.

### Measure word importance
You can check the density and usage frequency of any specific single word within a given block of text.

### Verify language support
It confirms if your target language is supported for accurate keyword analysis, saving you time before running a job.

## Use Cases

### A blog post needs more focus
A copywriter feeds an article draft into their agent. They ask it to use `rank_keywords`. The resulting list shows that the topic 'supply chain' is underrepresented, telling them exactly where they need to add depth.

### Optimizing for a product launch
An SEO analyst runs a large document set through the MCP. They use `calculate_term_density` on 'Model X' and find its density is too low, prompting them to revise the text and boost visibility.

### Translating content for market expansion
A global marketing manager needs to know if keyword analysis works in German. They use `verify_language_capability` first. The MCP confirms support, so they can proceed with confidence on their Spanish campaign.

### Reviewing academic research papers
A researcher feeds a long paper into the agent and asks for keyword rankings. The tool quickly provides the top 15 concepts, allowing them to summarize the core findings without reading every paragraph.

## Benefits

- Stop wasting time guessing. Using `rank_keywords` gives you an instant, prioritized list of terms that actually carry the most weight in your content.
- Fine-tune your writing with precision. You can run `calculate_term_density` to see if a key product term is used enough times without sounding repetitive.
- Ensure global reach. The MCP checks language compatibility first, so you know immediately when you're ready to analyze text in Portuguese or Spanish.
- Go deeper than basic word clouds. This tool uses advanced density analysis to quantify how central certain themes are to your overall message.
- Cut through the fluff. By filtering out common stopwords for English, Portuguese, and Spanish, the MCP gives you a cleaner signal of true user interest.

## How It Works

The bottom line is you stop guessing at content depth; you use hard data to prove which words carry the most meaning in your writing.

1. First, feed the MCP the text you need analyzed. This could be an article draft, a transcript, or a report section.
2. Second, tell your agent exactly what you need—do you want the top 10 keywords? Or are you checking if 'sustainability' is used enough times? The appropriate tool handles that specific request.
3. Finally, you get back quantified data: ranked lists of themes or a precise density score for any word. You now know your content's true focus.

## Frequently Asked Questions

**How does the Keyword Extractor MCP help me improve my blog posts?**
It shows you exactly which topics are most important to your current readers. By ranking keywords, it guides you to add more focus on underrepresented themes in your content.

**Can I use the Keyword Extractor MCP for multiple languages?**
Yes. The MCP supports English, Portuguese, and Spanish. Just run a language check first to confirm support before you analyze text from other regions.

**Is keyword density the same as keyword ranking with this MCP?**
No, they measure different things. Ranking gives you a prioritized list of themes; density tells you how important or common one specific word is within the whole text block.

**If I give it a technical manual, what will the Keyword Extractor MCP tell me?**
It will pinpoint the most frequently used and important terms related to function, installation, or safety. This helps you quickly understand the document's core vocabulary.

**Does the Keyword Extractor MCP filter out common filler words?**
Yes. It uses hardcoded stopword lists for English, Portuguese, and Spanish to strip away linguistic noise, ensuring your results are about actual content, not just grammar.