Text Master MCP Server

by very99

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About

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

Details

Author
very99
Categories
Productivity

Setup

Install Text Master MCP Server in your MCP client (Claude Desktop, Cursor, Windsurf, and others).

Repository: https://github.com/very99/text-master-mcp

Follow the installation instructions in the repository README, then restart your MCP client.

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

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

- 🔄 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

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

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

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

- 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

# 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

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

- 🚀 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

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!

- 🔄 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

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

We welcome contributions! Please seeCONTRIBUTING.mdfor guidelines.

MIT License - seeLICENSEfile for details.

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