"A GitHub server implementing the Model Context Protocol (MCP)" matching MCP servers:

Provides a standardized way to interact with MinIO object storage, allowing access to text files, binary files, and bucket contents while supporting operations like listing buckets/objects, retrieving objects, and uploading files.

Enables AI clients to read and write to a user-owned markdown bucket via S3-compatible storage, providing a persistent shared context layer across different AI tools.

Manages .ai/ workspace folder, syncs assets with a cloud service, and generates environment-specific bootstrap files for AI context management.

An MCP server that gives an AI agent controlled access to a Selectel cloud account: OpenStack cloud servers, S3 object storage, and account billing.

Connects any MCP client to a Nextcloud instance through official WebDAV and OCS APIs, enabling browsing, searching, uploading, downloading, copying, moving, and deleting files and folders, plus managing favorites, public links and user/group shares, and the trash bin. Authentication uses the browser-based Login Flow with a saved app password.

Lets AI assistants share HTML they generate as a private, end-to-end encrypted link, and update the page later at the same link. The page is encrypted locally before upload, the key stays in the link, and no account is needed.

Lets a coding agent upload files from disk to a Stickafile portal and return a shareable link, with the bytes going straight from disk to storage without entering the model's context. Also lists the portals a token can push to.

Read-only access to a local Hiberden backup catalog: list projects, archives, tapes, and jobs, check 3-2-1 coverage, and verify a stored copy by reading it back and re-hashing it. Runs against the catalog on your own machine, so nothing leaves it.

Upload any file from the local filesystem and get a shareable, expiring link — with tools to check file status, list recent uploads, and delete files on demand.

A read-only MCP server for Gmail and Drive with only 5 tools, designed to be friendly to small local LLMs by minimizing context usage and simplifying inputs.

One place for every AI agent's pages and docs. Publish HTML, build folders, ZIPs, PDFs and Office documents as sandboxed, versioned share links, then search, read and update them later from any MCP client. Sign in with Google or GitHub via OAuth. Open source and self-hostable: https://github.com/lexmount/artifact-site

Exposes the Dropbox API v2 to LLM agents as a fixed set of MCP tools, enabling file management, search, shared links, and account operations with support for Business team-space namespaces.

Enables agents to record their Linux X11 display while doing browser or computer-use work, then return a replay link when the task finishes without sending the video itself to the model.

Enables AI coding agents to read, write, and query Google Sheets as a database through the Model Context Protocol.

Enables AI assistants to read and optionally write Jottacloud files via the MCP protocol, with secure token-based authentication and configurable path restrictions.

Model Context Protocol server for the Beecargo file hosting API, enabling agents to upload files, create share links, manage folders, and control share settings.

Enables Gmail, Google Calendar, and Google Drive access through the Model Context Protocol, supporting email management, event scheduling, and file operations.

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.

A Model Context Protocol (MCP) server for ZeroDrive file management. It enables AI assistants like Claude to interact with ZeroDrive cloud storage through a standardized interface.

The CHUK MCP S3 Bucket Manager is a Python-based tool for managing Amazon S3 buckets using the MCP runtime. This utility provides a simple interface for listing, creating, and deleting S3 buckets.