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Style Coach

БесплатноНе проверен

Provides data-driven cover letter coaching by analyzing tone, keywords, and structure using a database of successful examples and corporate strategy reports.

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Описание

Provides data-driven cover letter coaching by analyzing tone, keywords, and structure using a database of successful examples and corporate strategy reports.

README

An advanced cover letter coaching tool powered by data-driven analysis. It helps users improve their job applications by analyzing tone, keywords, and structure based on 19,000+ successful cover letter examples and corporate strategy reports.

Features

  1. Success DNA Injection Analyzes job-specific successful cover letters to extract high-frequency keywords. If you apply for a 'Marketing' role, it checks if you used industry-standard terms found in successful applications.

  2. Strategy Report Integration (Dual Mode) Checks if your text aligns with both the Company's Core Values (Organization) and the Job's Key Competencies (Role). It loads strategy documents to provide context-aware feedback.

  3. Cliche Cleaner Detects and warns about overused, vague expressions like "I will work hard" or "learning attitude" that recruiters often dislike.

  4. Power Word Injector Identifies passive or weak verbs (e.g., "did", "participated") and suggests strong, active alternatives (e.g., "spearheaded", "achieved", "optimized") to enhance professionalism.

  5. Readability Check Enforces structural rules for better readability, such as keeping sentences under 80 characters and ensuring the first sentence contains key results (Head-first structure).

Performance Optimization

This MCP uses a Pre-computation Strategy to ensure high performance. Instead of parsing thousands of data files at runtime, it processes raw data during the build phase into a lightweight JSON cache.

  • Server Startup: < 100ms
  • Memory Usage: Optimized (Loads only essential keyword maps)

Installation & Setup

  1. Prerequisites
  • Node.js (v16 or higher)
  • Data files (JSON/DOCX) placed in the designated data directory (see Data Privacy).
  1. Install Dependencies npm install

  2. Build (Includes Pre-computation) npm run build

This command runs the pre-processing script to generate 'dist/data_cache.json' and then compiles the TypeScript code.

  1. Configure Claude Desktop Add the following to your claude_desktop_config.json:

{ "mcpServers": { "style-coach": { "command": "node", "args": [ "C:\Users\jyokm\OneDrive\Desktop\coverletter\Style-Coach-MCP\dist\index.js" ] } } }

Usage

Ask Claude to analyze your cover letter:

"Here is my cover letter for a Marketing role at CJ CheilJedang. Please analyze it using Style Coach."

Claude will call the 'coach_cover_letter' tool with the text, role ('Marketing'), and organization ('CJ CheilJedang').

Data Privacy Notice

This repository contains only the Logic and Code. Actual training data (19,000+ cover letters) and corporate strategy reports are NOT included due to privacy and copyright reasons.

To use your own data:

  1. Set the 'COVERLETTER_DATA_DIR' environment variable to your data path.
  2. Ensure your data follows the expected structure (JSON array for cover letters, DOCX/MD for strategies).
  3. Run 'npm run build' to generate the cache.

License

ISC

from github.com/jyokm91-gif/Style-Coach-MCP

Установка Style Coach

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/jyokm91-gif/Style-Coach-MCP

FAQ

Style Coach MCP бесплатный?

Да, Style Coach MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Style Coach?

Нет, Style Coach работает без API-ключей и переменных окружения.

Style Coach — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить Style Coach в Claude Desktop, Claude Code или Cursor?

Открой Style Coach на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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