text-master-mcp

very99/text-master-mcp

3.3

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Text Master MCP Server is a comprehensive tool for text processing, formatting, and analysis, designed for developers, writers, and data analysts.

Text Master MCP Server is a powerful and versatile Model Context Protocol (MCP) server that provides a wide range of text manipulation capabilities. It is designed to cater to the needs of developers, writers, and data analysts by offering a robust toolkit for text processing, formatting, and analysis. The server supports various text transformations, including case conversion, text cleaning, content extraction, and text analysis. It also offers encoding conversion, data format conversion, hash generation, and text generation features. With its high-performance local processing, Text Master MCP Server ensures privacy and security by handling all operations locally without network dependencies. It supports multiple languages, including English and Chinese, and provides comprehensive error handling and validation to ensure smooth operation. The server is compatible with MCP clients like Amazon Q CLI and Claude Desktop, making it a versatile choice for various platforms.

Features

  • Case Conversion: Transform text between different case formats such as camelCase, snake_case, and PascalCase.
  • Text Cleaning: Remove extra spaces, clean HTML tags, and normalize line breaks.
  • Content Extraction: Extract emails, URLs, numbers, and IP addresses from text.
  • Text Analysis: Perform comprehensive text analysis, including readability scores and keyword frequency analysis.
  • Encoding Conversion: Convert text between Base64, URL encoding, HTML entities, and Unicode escaping.

Usages

usage with amazon q cli

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

Tools

  1. convert_case

    Convert text between different case formats.

  2. clean_text

    Clean and format text with various operations.

  3. analyze_text

    Comprehensive text analysis and statistics.

  4. convert_encoding

    Convert between different text encodings.

  5. generate_text

    Generate various types of text content.