"Adding functionality to large language models" matching MCP servers:

Enables downloading real binary files from Egnyte and uploading large files with chunked support, complementing the official Egnyte MCP connector.

Enables saving files and folders to a local NAS over NFS with automatic share discovery, smart mounting, and seamless file transfers.

A local agent that monitors your system clipboard, automatically uploads copied images to Supabase Storage, and replaces the clipboard content with the public URL for immediate sharing.

Enables natural language management of files on CloudSee Drive (Amazon S3) including browsing, searching, uploading, downloading, sharing, and organizing, with confirmation for destructive actions.

Enables creating storage buckets and uploading media files to Supabase Storage through natural language, with no delete or overwrite capabilities.

MCP server for the Rclone RC API that enables AI assistants to manage cloud storage remotes, copy/sync files, and list directories through natural language.

An Amazon S3 Model Context Protocol server that allows Large Language Models like Claude to interact with AWS S3 storage, providing tools for listing buckets, listing objects, and retrieving object contents.

Enables LLMs to manage and manipulate notes in Nextcloud Notes via WebDAV, supporting tasks like organizing, summarizing, rewriting, and translating notes through natural language commands.

MCP server for the Rclone RC API. Gives AI assistants the ability to manage cloud storage remotes, copy/sync files, list directories, and more — all through natural language.

Enables browsing S3 buckets and objects, and generating secure presigned URLs for downloads and uploads, through natural language commands in MCP clients like Claude Desktop.

A Model Context Protocol server implementation that enables Claude to perform AWS operations on S3 and DynamoDB services through natural language commands.

A Model Context Protocol server that enables Claude Desktop and other MCP clients to interact with WebDAV file systems through natural language commands for CRUD operations.

Enables managing Excel files in Microsoft 365 (OneDrive/SharePoint) through Microsoft Graph API, including creating workbooks, adding worksheets, creating tables, and reading or adding table rows via MCP tools.

Connects AI assistants to Linagora's Twake Workplace, enabling interaction with chat, email, and drive services through natural language.

An implementation of the Model Context Protocol that allows AI models to interact with 360 AI Cloud Drive, providing comprehensive file management capabilities including uploading, downloading, searching, and sharing files.

Enables AI assistants to manage Microsoft SharePoint documents and folders through natural language, supporting operations like listing, reading, uploading, updating, deleting, and creating Office files.

Enables AI models to interact with Akave's S3-compatible storage by providing tools for managing storage buckets and objects through standardized Model Context Protocol (MCP).

Enables secure file and bucket management operations with Supabase Storage through enterprise-grade security features, batch uploads/downloads, and comprehensive file management capabilities. Supports both local file paths and base64 data with advanced transformations and auto-download functionality.

Enables Large Language Models to securely interact with Box cloud storage, including file upload, retrieval, search, and AI-powered analysis, without storing files locally.

MCP server enabling AI models to list S3 buckets, objects, and download files securely.