very99/text-master-mcp

Text Master MCP Server

English | 中文

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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

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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

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Contributing

We welcome contributions! Please see for guidelines.

License

MIT License - see file for details.