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Why this server?
Provides controlled filesystem access within predefined directories, enabling AI models to perform file and directory operations with strict path validation. This suggests it works across different OS.
Why this server?
Enables enhanced file system operations including reading, writing, copying, moving files with streaming capabilities, directory management, file watching, and change tracking, implying broad OS compatibility.
Why this server?
A Node.js server implementing Model Context Protocol (MCP) for filesystem operations. Since Node.js is cross-platform, the server should work on both Windows and Mac.
Why this server?
A TypeScript template for creating Model Context Protocol servers... This could be used to create a filesystem server. The mention of TypeScript implies cross-platform development.
Why this server?
A Model Context Protocol server that enables AI assistants to perform GitHub operations including repository management and file operations. Since Github works on both Windows and Mac, this is compatible.
Why this server?
Enables merging multiple files into a single file through a simple MCP interface. Provides a secure way to combine files while restricting access to only allowed directories. This suggests it works across different OS.
Why this server?
A local development server that provides an interface for managing and accessing markdown documents using the Model Context Protocol (MCP). This suggests it works across different OS.
Why this server?
A FastMCP server providing powerful code editing tools including precise file modifications with diff-based operations, file creation and reading with line numbers. Implies operation across different OS.
Why this server?
A tool for Model Context Protocol (MCP) that allows you to analyze web content and add it to your knowledge base, storing content as Markdown files for easy viewing with tools like Obsidian. This read and write access to filesystem implies cross-platform compatibility.
Why this server?
A Model Context Protocol server that enables LLMs to extract and use content from unstructured documents across a wide variety of file formats. This document processing implies cross-platform compatibility.