How to Use the N-Gram Frequency Engine MCP in Claude

Get exact linguistic counts directly in Claude Desktop. Deterministic N-Gram Frequency Engine analysis for your local text files.

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Connect N-Gram Frequency Engine MCP to Claude Desktop

Create your Vinkius account to connect N-Gram Frequency Engine to Claude Desktop 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 N-Gram Frequency Engine with Claude Desktop

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Perplexity

Deterministic phrase counting

Stop guessing word patterns and start counting them. The `extract_ngram_frequencies` tool parses your local documents to return precise unigram, bigram, and trigram data. Claude Desktop executes this locally, ensuring your raw text never leaves your machine. The engine treats your files as pure data, stripping punctuation to give you the exact frequency distribution you need for model training or research.

Token optimization for Claude Desktop

Use the `extract_ngram_frequencies` tool to identify high-frequency phrases that bloat your prompts. By isolating these patterns, you can condense your context window and save on token costs. Your AI client processes these counts to suggest better summarization strategies. It is a simple way to make your long-form analysis more efficient without losing the nuance of the original source material.

Local file analysis workflow

Connect the N-Gram Frequency Engine to your filesystem to scan entire directories of research notes. The tool iterates through your local data, providing a structured JSON output of phrase frequencies. Claude Desktop handles the heavy lifting, allowing you to ask questions about the top phrases in your collection. You get clear, verifiable results instead of probabilistic approximations.

Setup guide

Set up N-Gram Frequency Engine MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The N-Gram Frequency Engine MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the N-Gram Frequency Engine MCP configuration

Copy the JSON snippet on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under n-gram-frequency-engine-mcp.

json

{
  "mcpServers": {
    "n-gram-frequency-engine-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about N-Gram Frequency Engine MCP in Claude Desktop

The server uses a streaming, generator-based approach to process text. This keeps memory usage low even when you point the tool at massive local corpora.

Yes. Because Claude Desktop runs this server locally via stdio, your data stays on your drive. Nothing is sent to external servers during the extraction process.

Our engine performs deterministic counting, meaning it ignores case and strips punctuation by default. This ensures you get exact matches rather than fuzzy, AI-estimated results.

No. The local stdio transport means the engine runs entirely offline on your hardware. You do not need a connection to perform your linguistic analysis.

Your text remains local. The tool reads your file, computes the frequencies, and hands the JSON back to the agent without touching any remote storage or cloud endpoints.

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