"How to run a Windows command" matching MCP servers:

Enables AI apps to work with Google Drive in plain language, including searching, organizing, uploading, downloading, exporting, sharing, and commenting on files, with reversible trash and configurable access scopes.

Enables AI agents to send emails and manage tasks in Microsoft To Do with scoped, low-risk access to Microsoft Graph.

MCP server for EveryPage that lets an AI assistant turn a PDF into a tracked share link and report who read it, how far they got, and where they stopped.

Enables exporting data from databases to files (CSV, TSV, JSON, BSON, Parquet, XLSX, Binary) with optional cloud storage targets, via a two-step preview-execute safety process.

Enables durable, encrypted, cryptographically verified storage for MCP agents with self-serve signup and 12 GB free tier.

Full-access MCP server for managing AR LABS (Viral AI Prompts & Guides), enabling post creation, editing, deletion, image uploads, push notifications, comment moderation, and site stats via AI assistants.

Lets MCP clients publish a single file to a permanent, shareable link via whamlink. Supports tools for managing links, including registration, publishing, listing, updating access, replacing content, and deleting links.

Z-CLI provides NAS operations like file management, pool queries, search, and file operations through CLI and MCP Server, enabling AI assistants to interact with zspace private cloud.

Governed MinIO object-storage operations — capacity, exposure-surface audit, lifecycle, and healing RCA, with guarded bucket writes, unbypassable audit logging (MCP + CLI), budget/runaway guards, dry-run, and undo/rollback.

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

A Model Context Protocol server that provides seamless access to multiple storage services including S3, Azure Blob Storage, and Google Cloud Storage through Apache OpenDAL™.

Enables interaction with Volcengine's TOS (Object Storage) service through MCP protocol. Supports bucket management, object operations, pre-signed URLs, and media processing including image manipulation and video frame extraction.

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

Enables natural language exploration and management of Volcengine TOS storage, allowing users to list buckets, browse objects, and retrieve file contents. It supports content retrieval for various data types including text, images, and video files.

Enables AI assistants to interact with and manage Google Cloud Platform resources including Artifact Registry, BigQuery, Cloud Build, Compute Engine, Cloud Run, Cloud Storage, and monitoring services through a standardized MCP interface.

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.

🚀 Tigris MCP Server implements the MCP specification to create a seamless connection between AI agents and Tigris key features like bucket and object management.

A local MCP server that securely uploads explicitly selected local images to RecallFox, keeping image bytes and OAuth tokens out of model context.

EasySend MCP server lets AI assistants upload, download and share files instantly. No API key or authentication needed. Upload any file type up to 1GB, get a shareable link. Tools: upload_file, upload_multiple_files, get_bundle, download_file, download_bundle, delete_file, bundle_status.