Provides comprehensive file system operations, multi-format data parsing, transformation, Scriban template processing, and HTTP client operations for AI assistants.
Sponsored
FileScrubber is a powerful, enterprise-ready Model Context Protocol (MCP) server that extends AI assistants with comprehensive file system operations, data parsing, and template rendering capabilities. It enables AI models to interact with local and remote files, query structured data across multiple formats, transform content, and generate documentation through Scriban templates, supporting seamless integration via HTTP and Stdio transports.
Key Features
01Multi-Format Data Parsing (JSON, XML, YAML, CSV, Excel)
02Scriban Template Processing for dynamic content generation
03HTTP Client Operations for API integration
04Comprehensive File System Operations (Read, Write, List, Search)
05XML Data Transformation using XSLT Stylesheets
060 GitHub stars
Use Cases
01Automate file management and content manipulation
02Extract and analyze data from structured files (JSON, XML, YAML, CSV, Excel)
03Generate formatted reports and documentation using templates