How to Use the Deterministic Text Summarizer & Extractor MCP in Cursor

Inject predictable, frequency-based text metrics and summaries directly into your Cursor codebase without external API calls.

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Connect Deterministic Text Summarizer & Extractor MCP to Cursor

Create your Vinkius account to connect Deterministic Text Summarizer & Extractor to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Deterministic Text Summarizer & Extractor with Cursor

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Claude

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Extract precise keywords right inside your Cursor editor

Stop letting your editor's agent guess which terms dominate your codebase files. The `extract_top_keywords` tool calculates exact Term Frequency metrics, giving your AI agent a mathematical breakdown of your text. By configuring this in your ~/.cursor/mcp.json file, your agent can inspect local files and feed the exact keyword counts directly into your active editor window. You get clean, repeatable data without any stochastic guesswork.

Analyze code comments with this MCP Server

Finding repeated two-word phrases is crucial when refactoring documentation or analyzing logs. The `extract_top_bigrams` tool scans your files and returns the most frequent pairs instantly. Since Cursor runs this MCP Server in Agent mode, the AI can automatically trigger the tool, read the output, and update your markdown files with the discovered patterns. It is fast, local, and completely deterministic.

Generate math-based extractive summaries in Cursor

Instead of letting an AI rewrite your code documentation and introduce errors, use the `extractive_summary` tool. It selects the most mathematically important sentences based on actual term frequency. This ensures your generated summaries are always composed of original sentences from the source file. Your Cursor agent can write these summaries directly to your README files, maintaining perfect accuracy.

Setup guide

Set up Deterministic Text Summarizer & Extractor MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Deterministic Text Summarizer & Extractor MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Deterministic Text Summarizer & Extractor transactions." If the MCP tools are loaded correctly, Cursor will call the Deterministic Text Summarizer & Extractor tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "deterministic-text-summarizer-extractor-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Deterministic Text Summarizer & Extractor MCP in Cursor

Create a .cursor/mcp.json file in your project root and add the server configuration under the mcpServers key. Once configured, enable Agent mode in your Cursor chat to let the editor call the tools.

Default AI summaries can drift, hallucinate, or change every time you run them. This Deterministic Text Summarizer & Extractor MCP Server uses hard math to guarantee the exact same keywords and sentences are extracted every single run.

Yes, your agent can feed raw log files into the tools to isolate recurring patterns. It can use the extracted bigrams to identify common error sequences without manual sorting.

It does not need an internet connection because the algorithms run locally on your machine or within your secure sandbox. This makes it incredibly fast and completely independent of external API availability.

Your raw text inputs and extracted sentences are processed entirely within the local editor context or the isolated Vinkius sandbox. No data is ever transmitted to external LLM providers or third-party servers for analysis.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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