Use Keyword Extractor Engine with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Extract and rank significant keywords from text using term frequency and density analysis.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 3 capabilities
The complete Keyword Extractor Engine capability set.
These are the exact actions your AI can choose when you ask it to work with Keyword Extractor Engine.
01-03
3 capabilities in this set.
Part of 3 available through Keyword Extractor Engine.
- 01
Verify language capability
Confirms whether the requested language is available
- 02
Calculate term density
Analyzes a specific word's importance within a given text block
- 03
Rank keywords
Provides a prioritized list of keywords found within a text
Observed, not estimated
691ms average. Fast in production.
Keyword Extractor Engine is checked daily against the live service.
- Fastest day
- 563ms
- Slowest day
- 928ms
- 14-day trend
- Slowing+24%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Keyword Extractor Engine, so you can see the experience inside your AI.
It does not authenticate your account with Keyword Extractor Engine. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Keyword Extractor Engine Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_pI6NO6ZkNzeuheRsFlhUgGz8DmheaeJNHApCwOY7/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Keyword Extractor Engine capabilities are ready to use.
{
"mcpServers": {
"keyword-extractor-mcp": {
"url": "https://edge.vinkius.com/vk_preview_pI6NO6ZkNzeuheRsFlhUgGz8DmheaeJNHApCwOY7/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
FAQ
Questions Keyword Extractor Engine owners ask.
- 01
Which languages are supported?
The engine currently supports English (en), Portuguese (pt), and Spanish (es) through hardcoded stopword lists.
- 02
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.
- 03
Can I check if a language is supported before running analysis?
Yes, you can use the verify_language_capability capability to confirm if a specific ISO 63 639-1 code is available for extraction.
Explore
More in Analytics
AI Feature i18n Quality Analyzer AI Connector
Assess AI feature readiness for global markets using linguistic and AI performance metrics.
ViewAgent Self-Reflection & Sentiment Scanner AI Connector
Quantify agent self-correction behavior and sentiment by scanning execution logs for specific error and succes
ViewAgent Self-Reflection & Sentiment Scanner AI Connector
Quantify agent self-correction behavior and sentiment by scanning execution logs for specific error and succes
ViewMeaningCloud AI Connector
Advanced text analytics for sentiment analysis, topic extraction, language detection, and automatic summarizat
View
Suggestions
MonkeyLearn AI Connector
Analyze text data with custom machine learning models that classify sentiment, extract keywords, and tag topic
ViewHugging Face LLM AI Connector
Connect Hugging Face LLM to any AI agent via MCP.
ViewLanguage Detector Engine AI Connector
Detect the language of any text local using exact n-gram analysis. Supports 400+ languages. When AI guesses wr
ViewMonkeyLearn AI Connector
Analyze text data with custom machine learning models that classify sentiment, extract keywords, and tag topic
View
