Developer Utilities

Provides bidirectional encoding/decoding across Base64, URL encoding, hex, and other standard formats through a unified MCP tool interface. Implements format-specific codec handlers that validate input and output types, enabling seamless conversion between text representations without manual string manipulation or external library dependencies.

Supports multiple hashing algorithms (MD5, SHA-1, SHA-256, SHA-512, and others) through a parameterized MCP tool that accepts input text and algorithm selection, returning hex-encoded hash digests. Implements algorithm validation to prevent unsupported hash function calls and provides consistent output formatting across all hash types.

Validates JSON data against a provided schema, returning detailed error messages for non-conforming data including field names, expected types, and constraint violations. Implements schema-based validation using standard JSON Schema format, enabling agents to validate API responses, configuration data, or user input without writing custom validation logic.

Transforms CSV data into structured JSON arrays of objects (with header-based key mapping) and vice versa, handling delimiter detection, quote escaping, and header normalization. Implements row-by-row parsing that maps CSV columns to JSON object keys, preserving data types where possible and providing options for custom delimiters and quote characters.

Converts JSON arrays of objects into Markdown table syntax with automatic column width calculation, header formatting, and alignment. Parses JSON structure to extract keys as table headers, iterates through objects to populate rows, and generates properly formatted Markdown with pipe delimiters and alignment indicators.

Parses HTML documents and extracts structured data into JSON format using CSS selectors or tag-based queries. Implements DOM traversal to identify elements, extract text content and attributes, and map them to JSON object structures with configurable key naming and nesting.

Provides a regex testing tool that accepts a pattern string and input text, returning match results with captured groups, match positions, and validation feedback. Implements regex compilation with error handling, supports multiple regex flavors (JavaScript, Python-compatible), and returns structured results including all captured groups and match metadata.

Analyzes text input to compute metrics including word count, character count, sentence count, average word length, readability scores, and keyword frequency distribution. Implements tokenization for word/sentence splitting, calculates linguistic metrics (Flesch-Kincaid grade level, etc.), and returns comprehensive statistics as structured JSON.

Parses common configuration file formats (YAML, TOML, INI, JSON) and extracts structured data with support for nested keys, environment variable substitution, and validation. Implements format-specific parsers that handle syntax variations, provide error reporting with line numbers, and normalize output to consistent JSON structure.

Converts JSON arrays of objects into HTML table markup with configurable styling, column headers, and optional CSS classes. Generates semantic HTML with thead/tbody structure, escapes special characters to prevent injection, and supports custom column ordering and formatting options.

Provides multiple text transformation functions including uppercase, lowercase, title case, camelCase, snake_case, kebab-case, and PascalCase conversion. Implements language-aware case detection and transformation with support for handling acronyms, numbers, and special characters in different case formats.