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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use text-summarizer-extractor with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Equip your AI with pure Term Frequency (TF) text analysis. Deterministically extract keywords, bigrams, and generate extractive summaries without external API c

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 3 capabilities

The complete text-summarizer-extractor capability set.

These are the exact actions your AI can choose when you ask it to work with text-summarizer-extractor.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through text-summarizer-extractor.

  1. 01

    Extract top bigrams

    Extracts the top N most frequent two-word phrases (bigrams). Excellent for SEO topic modeling

  2. 02

    Extract top keywords

    Extracts the top N most frequent keywords from a text (TF algorithm), ignoring stop words

  3. 03

    Extractive summary

    Performs algorithmic extractive summarization. It selects the most mathematically important sentences based on Term Frequency (TF)

Observed, not estimated

821ms average. Fast in production.

text-summarizer-extractor is checked daily against the live service.

Daily averagePeak 989ms
Aug 20Today
Fastest day
700ms
Slowest day
989ms
14-day trend
Stable+3%

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 text-summarizer-extractor, so you can see the experience inside your AI.

It does not authenticate your account with text-summarizer-extractor. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

text-summarizer-extractor Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_x32zMiM6lRsYu5lv1NDLGVRYYFMM8douF0KY03eU/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — text-summarizer-extractor capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "deterministic-text-summarizer-extractor-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_x32zMiM6lRsYu5lv1NDLGVRYYFMM8douF0KY03eU/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 text-summarizer-extractor owners ask.

  • 01

    What is the difference between Extractive and Abstractive summarization?

    Abstractive summarization (what ChatGPT does) writes a completely new text based on its understanding. Extractive summarization (what this capability does) selects the most mathematically important sentences directly from the original text without changing a single word. It guarantees 100% factual accuracy.

  • 02

    Does the keyword extraction ignore simple connection words?

    Yes. It has a built-in cross-language 'Stop Words' dictionary (supporting English, Portuguese, and Spanish) to ensure words like 'the', 'and', 'for', 'uma' are completely ignored during Term Frequency calculations.

  • 03

    Why use this capability instead of just asking an AI to summarize?

    If you have a massive 50-page document, passing the entire text into an AI context window is extremely expensive and slow. Running an algorithmic extraction first condenses the text dramatically while retaining all key facts.

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