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

Q: How do I configure the N-Gram Frequency Engine MCP Server for Claude Code?

Run claude mcp add --transport http -- . Make sure all flags come before the server name. Your configuration is automatically saved in /.claude.json.

Run deterministic N-gram extractions directly in your terminal with Claude Code.

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Connect N-Gram Frequency Engine MCP to Claude Code

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

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Claude

Perplexity

Headless Extraction for Claude Code

The `extract_ngram_frequencies` tool delivers exact unigram, bigram, and trigram counts directly to your command line. You execute a single command to point your agent at a directory of text files. The MCP Server handles the counting. Terminal users need fast, deterministic results. Probabilistic models fail at exact frequency mapping. This tool gives your CI/CD pipelines hard data without requiring heavy Python NLP libraries.

Automated Data Processing

You can pipe these extractions into cron jobs or shell scripts. Claude Code runs the extraction tool over incoming text dumps every night. It grabs the top 100 bigrams and logs them. No GUI slows you down. The agent parses the text, extracts the frequency distribution, and writes the output to a clean JSON file. You get automated linguistic analysis running silently in the background.

Zero-Bloat MCP Server Integration

Loading massive datasets into an LLM context window crashes scripts and burns API credits. This MCP Server processes the raw text locally. It returns a dense, lightweight frequency map. Your AI client receives only the necessary data. This keeps your terminal sessions fast and responsive. You get the exact phrase counts without the massive token overhead.

Setup guide

Set up N-Gram Frequency Engine MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see n-gram-frequency-engine-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest N-Gram Frequency Engine transactions." It will automatically discover and invoke the available N-Gram Frequency Engine tools.

Terminal

claude mcp add --transport http n-gram-frequency-engine-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the N-Gram Frequency Engine MCP

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

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "n-gram-frequency-engine-mcp": {
      "type": "url",
      "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 Code

Run `claude mcp add --transport http -- `. Make sure all flags come before the server name. Your configuration is automatically saved in `~/.claude.json`.

Yes. You can trigger the agent in a GitHub Action or Docker container. It will run the extraction tool statelessly and output the frequency data to your pipeline logs.

The MCP Server itself processes data locally. Claude Code requires an internet connection to communicate with the Anthropic API, but the text parsing happens on your machine.

The tool returns a standard JSON object. It contains separate keys for unigrams, bigrams, and trigrams, mapped to their respective exact counts.

No. Your raw corpora are parsed locally by the engine. The actual text files never leave your system. Only the final numerical counts are transmitted to the LLM API.

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