"Understanding File Usage" matching MCP servers:

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.

Fetches and tracks Claude.ai usage data including session and weekly limits with automated daily logging and persistent session management. It allows users to monitor their usage history directly through Claude Code integrated tools.

Enables comprehensive file operations including reading, writing, searching, and editing files with advanced features like regex-based replacements, line-specific modifications, and directory-wide search capabilities. Provides 8 robust tools for safe file manipulation with content verification and detailed error handling.

A local MCP server that enables Claude to manage Dropbox accounts through tools for file manipulation, searching, and sharing. It supports operations such as listing folders, moving files, creating shared links, and monitoring storage usage via natural language commands.

Enables file management operations on the desktop including creating, reading, editing, moving, renaming, deleting, and listing files through the Model Context Protocol.

A powerful, security-hardened MCP server for intelligent file organization. Provides high-level atomic tools for organizing files into categories, detecting duplicates, extracting EXIF/ID3 metadata, scheduling automatic organization, and more — for use with Claude, Cursor, and Gemini CLI.

A Model Context Protocol server that provides AI assistants with real-time data about Compresto's file compression app usage statistics, including total users, processed files, and total size reduced.

An MCP server that parses files for Claude Desktop, requiring a 302AI API key for operation.

Enables AI models to perform file operations, user management, automations, and more within Files.com's secure file transfer platform via the Model Context Protocol.

Model Context Protocol (MCP) server for simple and instant file sharing. Input: file name → Output: download link in Seconds even for large file

A Model Context Protocol (MCP) server for converting files between different formats

Enables comprehensive file and document operations including image compression, archive creation/extraction, file copying/moving, PDF merging/splitting/conversion, SQLite database queries, and advanced text processing.

Enables access to over 249 APIs through the Model Context Protocol, simplifying integration and usage without extensive technical knowledge.

Enables AI to upload local files to RustFS storage service and download files from HTTP/HTTPS URLs to local paths. Built with FastMCP and RustFS SDK for seamless file operations through natural language.

A corporate file management system that enables users to upload and activate files through an approval workflow for use within ChatGPT Apps. It utilizes the Model Context Protocol to provide secure access to file metadata and listings via OAuth 2.1 authentication.

Enables AI-driven file organization by listing and moving files into structured folders by extension and modification date, based on natural language requests, without reading file contents.

Provides tools for common file processing operations including reading files, listing directories, searching across files, getting file info, and counting lines with built-in security features like path traversal protection.

An MCP server that provides tools for secure file management within a dedicated workspace directory. It enables users to create, list, and delete files through natural language while preventing path traversal attacks.

The fileAI MCP Server offers a robust set of tools to work with the fileAI file processing pipeline. It allows for uploading files, performing Optical Character Recognition (OCR), classifying documents, and extracting structured data. The server leverages the Model Context Protocol (MCP) to provide

An intelligent MCP server that analyzes folder contents to automatically categorize files and suggest meaningful naming conventions based on file types and content. It enables users to organize messy directories into structured topic-based folders through automated analysis, renaming, and file movement tools.