Text Master MCP Server

A comprehensive toolkit for text processing, formatting, and analysis.

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Text Master MCP Server

English | 中文

English

A comprehensive MCP (Model Context Protocol) server for text processing, formatting, and analysis. The ultimate text manipulation toolkit for developers, writers, and data analysts!

✨ Core Features

  • 🔄 Case Conversion: Transform between camelCase, snake_case, kebab-case, PascalCase, CONSTANT_CASE
  • 🧹 Text Cleaning: Remove extra spaces, trim lines, normalize line breaks, clean HTML tags
  • 🔍 Content Extraction: Extract emails, URLs, numbers, IP addresses from text
  • 📊 Text Analysis: Comprehensive statistics, readability scores, keyword frequency analysis
  • 🔐 Encoding Conversion: Base64, URL encoding, HTML entities, Unicode escaping
  • 📋 Data Format Conversion: JSON formatting/minification, CSV ↔ JSON conversion
  • 🔐 Hash Generation: MD5, SHA1, SHA256, SHA512 hash generation
  • ✨ Text Generation: Lorem Ipsum, passwords, UUIDs, fake data, random quotes
  • 📝 Markdown Processing: Convert between Markdown, HTML, and plain text
  • 📋 Table Generation: Create Markdown tables with custom alignment

🚀 Quick Start

  1. Clone the repository

    git clone https://github.com/very99/text-master-mcp.git
cd text-master-mcp

  2. Install dependencies

    npm install

  3. Build the project

    npm run build

  4. Configure your MCP client

    For Amazon Q CLI (~/.aws/amazonq/mcp.json):

    {
  "mcpServers": {
    "text-master": {
      "command": "node",
      "args": ["/path/to/text-master-mcp/dist/index.js"],
      "timeout": 30000
    }
  }
}

🛠️ Available Tools

  • convert_case: Convert text between different case formats
  • clean_text: Clean and format text with various operations
  • analyze_text: Comprehensive text analysis and statistics
  • convert_encoding: Convert between different text encodings
  • generate_text: Generate various types of text content

📖 Usage Examples

# Case Conversion
"hello world" → camelCase → "helloWorld"
"hello world" → snake_case → "hello_world"

# Text Analysis
Input: "Sample text for analysis..."
Output: Characters: 25, Words: 4, Reading time: 1 min

# Password Generation
Generate secure 16-character password with symbols

🔧 Requirements

  • Node.js (version 14 or higher)
  • MCP-compatible client (Amazon Q CLI, Claude Desktop, etc.)

🌟 Key Features

  • 🚀 High Performance: Local processing, no network dependencies
  • 🔒 Privacy First: All processing happens locally
  • 🌍 Multi-language Support: Handles English, Chinese, and mixed content
  • 🛡️ Error Handling: Comprehensive error handling and validation

中文

一个用于文本处理、格式化和分析的综合性 MCP 服务器。为开发者、写作者和数据分析师提供的终极文本处理工具包！

✨ 核心功能

  • 🔄 大小写转换: 支持驼峰命名、蛇形命名、短横线命名等格式转换
  • 🧹 文本清理: 移除多余空格、清理HTML标签、统一换行符
  • 🔍 内容提取: 从文本中提取邮箱、网址、数字、IP地址
  • 📊 文本分析: 全面的统计信息、可读性评分、关键词频率分析
  • 🔐 编码转换: Base64、URL编码、HTML实体、Unicode转义
  • ✨ 文本生成: Lorem Ipsum、密码、UUID、假数据生成
  • 📝 Markdown处理: Markdown、HTML、纯文本之间的转换

🚀 快速开始

  1. 克隆仓库

    git clone https://github.com/very99/text-master-mcp.git
cd text-master-mcp

  2. 安装依赖

    npm install

  3. 构建项目

    npm run build

📖 使用示例

# 大小写转换
"hello world" → 驼峰命名 → "helloWorld"
"hello world" → 蛇形命名 → "hello_world"

# 文本分析
输入: "用于分析的示例文本..."
输出: 字符数: 25, 单词数: 4, 阅读时间: 1分钟

🔧 系统要求

  • Node.js (版本 14 或更高)
  • 兼容 MCP 的客户端

📄 许可证

MIT License

Contributing

We welcome contributions! Please see CONTRIBUTING.md for guidelines.

License

MIT License - see LICENSE file for details.

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