Keyword Extractor MCP for AI Agents. Analyze Text and Rank Keywords for Content Optimization

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.

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

See Vinkius in Action

Give Claude and any AI agent real-world access

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.

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AI Agent

MCP Server

What AI agents can do with Keyword Extractor: 3 Tools for Text Analysis & Keywords

Use these dedicated tools to quantify word importance, generate ranked keyword lists, or check language compatibility across your documents.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using Keyword Extractor MCP

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...

Verify Language Capability

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

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Keyword Extractor MCP for AI Agents MCP is compatible with Claude

Claude AI

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/vk_preview_pI6NO6ZkNzeuheRsFlhUgGz8DmheaeJNHApCwOY7/mcp

Preview token vk_preview_pI6NO6ZkNzeuheRsFlhUgGz8DmheaeJNHApCwOY7 included - explore all tools instantly!

Start a conversation

Open a new chat. The Keyword Extractor MCP for AI Agents integration is available immediately — no restart needed.

Antigravity

Configure Agent Environment

Open your Antigravity agent's workspace configuration or mcp-servers.json file.

Bind the Endpoint

Add the Vinkius endpoint URL to your agent's MCP connections list:

"mcp_servers": {
  "keyword-extractor": {
    "serverUrl": "https://edge.vinkius.com/vk_preview_pI6NO6ZkNzeuheRsFlhUgGz8DmheaeJNHApCwOY7/mcp"
  }
}

Preview token vk_preview_pI6NO6ZkNzeuheRsFlhUgGz8DmheaeJNHApCwOY7 included - explore all tools instantly!

Execute

Start your Antigravity session. The agent will autonomously discover and utilize the Keyword Extractor MCP for AI Agents tools with full Vinkius guardrails applied.

Keyword Extractor MCP for AI Agents MCP is compatible with VS Code

VS Code Copilot

⚡

One-Click Install (Recommended)

In your Vinkius Dashboard, simply click the Add to VS Code button for this server. We'll automatically configure your local workspace.

Or configure manually

Open MCP Settings

Open VS Code, press Ctrl/Cmd + Shift + P, and search for GitHub Copilot: MCP Servers.

Add Server Config

Add the Vinkius endpoint configuration to your mcp-servers.json file:

"keyword-extractor": {
  "url": "https://edge.vinkius.com/vk_preview_pI6NO6ZkNzeuheRsFlhUgGz8DmheaeJNHApCwOY7/mcp"
}

Preview token vk_preview_pI6NO6ZkNzeuheRsFlhUgGz8DmheaeJNHApCwOY7 included - explore all tools instantly!

LangChain

Install Dependencies

Install the LangChain MCP adapters for your environment:

pip install langchain-mcp-adapters

Connect the Server

Use the SSEClient in LangChain to connect to the Vinkius managed endpoint:

from langchain_mcp_adapters.client import SSEClient

# Connect to Vinkius
client = SSEClient(url="https://edge.vinkius.com/vk_preview_pI6NO6ZkNzeuheRsFlhUgGz8DmheaeJNHApCwOY7/mcp")
tools = client.get_tools()

CrewAI

Define the Tool

Load the Vinkius MCP tools into your CrewAI agents:

from crewai import Agent
from mcp_crewai import MCPTool

# Connect securely to Vinkius
vinkius_tools = MCPTool(url="https://edge.vinkius.com/vk_preview_pI6NO6ZkNzeuheRsFlhUgGz8DmheaeJNHApCwOY7/mcp")

# Assign to Agent
researcher = Agent(
    role='Data Researcher',
    tools=vinkius_tools.get_all()
)

Execute Task

Run your CrewAI process. The agent will autonomously route tasks to the Vinkius managed server.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

Import from OpenAPI, Swagger, or YAML specs
Create Agent Skills with progressive disclosure
Deploy to edge with MCPFusion framework
Built in DLP, auth, and compliance on each call
Real time usage dashboard and cost metering
Publish to catalog or keep private

Start building

Make Your AI Do More

Start with Keyword Extractor, then connect any of our 5,300+ other servers whenever your AI needs more. One click, no limits.

Use this MCP plus 5,300+ others, all in one place
Add new capabilities to your AI anytime you want
Connections are secured and governed automatically
Track usage and costs across all your servers
Works with Claude, ChatGPT, Cursor, and more
New servers added to the catalog weekly

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V8 Isolated

Sandboxed per request

Zero-Trust Proxy

No stored credentials

DLP Enforced

Policy on each call

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EU data residency

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~60% cost reduction

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Keyword Extractor MCP for AI Agents: Finding Core Topics in Content

Before this MCP, figuring out what truly mattered in a 3,000-word report was painful. You’d manually read it section by section, highlighting words you thought were important, only to realize later that the key message was buried beneath filler phrases and vague adjectives. It was guesswork; you spent hours compiling lists that ended up being too noisy or incomplete.

Now, your agent runs this MCP on the document. It instantly applies advanced calculations, delivering a clean, prioritized list of terms. You don't get noise; you get signal—a definitive understanding of the report’s true focus.

Keyword Extractor MCP for AI Agents: Measuring Term Density in Copywriting

Writing requires a delicate balance. You need to use your core keywords enough times to rank well, but not so much that the copy feels repetitive or unnatural. Manually checking if 'Eco-Friendly' appears 3-5 times across five different headings is tedious and prone to human error.

With this MCP, you just run a check on the specific term you want. It gives you an exact density score, telling you immediately if your usage is too high or too low for maximum impact.

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keywords

text-analysis

nlp

frequency

density

What Keyword Extractor MCP for AI Agents MCP does for your AI

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.

Built · Hosted · Managed by Vinkius Keyword Extractor MCP for AI Agents — Content Analysis

Server ID 019f11d6-0ca4-7378-bfe5-aa5c693e72be

Vinkius Inspector

Compliance Grade A+

Score 100/100

Report View Report ↗

Who uses Keyword Extractor MCP for AI Agents MCP

This MCP is built for anyone who spends time crafting, optimizing, or reviewing written material. If your job involves making sure a message lands clearly and powerfully—from blog posts to white papers—you need this. It’s perfect for content strategists and writers tired of vague feedback.

Content Strategist

Uses the MCP to analyze competitor articles, identifying high-value keywords they are missing or underemphasizing.

Copywriter

Runs quick density checks on headlines and body copy to ensure crucial product terms appear with optimal frequency.

SEO Analyst

Analyzes large batches of existing content, running rank_keywords to spot clusters of related topics that need more focus.

Benefits of connecting Keyword Extractor MCP for AI Agents MCP

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.

Keyword Extractor MCP for AI Agents MCP use cases

01 01

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.

02 02

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.

03 03

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.

04 04

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.

Keyword Extractor MCP for AI Agents MCP tradeoffs

What to watch out for, and the recommended way to handle each one.

Assuming basic word count is enough

Avoid

Using a simple word counter and thinking that just because 'apple' appears five times, it means the user cares about apples.

Instead

Don't just count. Use calculate_term_density to see how often 'apples' relates to other key words like 'pie' or 'juice,' giving you context on its true importance.

Mixing up concepts and keywords

Avoid

Trying to analyze a whole book chapter for one specific keyword, but getting results that are too general.

Instead

If you only care about the term 'quantum computing,' use calculate_term_density with that exact word. It focuses the analysis, ignoring all other potential themes.

Ignoring language limitations

Avoid

Running a keyword ranking on Spanish text when your agent doesn't know to check for it first.

Instead

Always start by using verify_language_capability. This confirms the MCP can properly filter stopwords and analyze keywords in Portuguese, Spanish, or English.

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.

Give Claude and any AI agent real-world access

What AI agents can do with Keyword Extractor: 3 Tools for Text Analysis & Keywords

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...

Verify Language Capability

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

Security and governance baked right in.

Claude AI

Open Claude Settings

Add Custom Connector

Start a conversation

Claude Code

Open your terminal

Add the MCP Server

Start coding

Cursor

One-Click Install (Recommended)

Open Cursor Settings

Add New Server

Use in Composer

Antigravity

Configure Agent Environment

Bind the Endpoint

Execute

VS Code Copilot

One-Click Install (Recommended)

Open MCP Settings

Add Server Config

Windsurf

One-Click Install (Recommended)

Open Windsurf Settings

Add Server Endpoint

LangChain

Install Dependencies

Connect the Server

CrewAI

Define the Tool

Execute Task

Choose How to Get Started

Build Your Own

Make Your AI Do More

Keyword Extractor MCP for AI Agents: Finding Core Topics in Content

Keyword Extractor MCP for AI Agents: Measuring Term Density in Copywriting

keywords

text-analysis

nlp

frequency

density

What Keyword Extractor MCP for AI Agents MCP does for your AI

How to set up Keyword Extractor MCP for AI Agents MCP

Who uses Keyword Extractor MCP for AI Agents MCP

Benefits of connecting Keyword Extractor MCP for AI Agents MCP

Keyword Extractor MCP for AI Agents MCP use cases

A blog post needs more focus

Optimizing for a product launch

Translating content for market expansion

Reviewing academic research papers

Keyword Extractor MCP for AI Agents MCP tradeoffs

Assuming basic word count is enough

Mixing up concepts and keywords

Ignoring language limitations

When to use Keyword Extractor MCP for AI Agents MCP

Frequently Asked Questions