"Definition and Meaning of the Word" matching MCP servers:

Provides tools for reading, modifying, and analyzing Google Sheets, as well as searching and managing Google Drive spreadsheets with access control.

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.

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

MCP server for OVHcloud Object Storage, enabling management of buckets, objects, project users, S3 credentials, and storage policies. Read-only by default with opt-in write tools.

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.

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

MCP server for the Wasabi WACM Connect API, enabling management of account hierarchy, storage, and billing data through Claude with 18 read-only and 12 opt-in write tools.

Enables AI assistants to upload, transform, and serve images using the Spronta Image CDN. It supports real-time image processing, global CDN delivery, and management of projects and transform presets through natural language.

Enables optimization, conversion to WebP, and uploading of images to Vercel Blob storage, supporting both local files and external URLs.

MCP Server for Eyevinn Open Source Cloud API, enabling creation of solutions based on open web services. Web services based on open source where the creator gets a share of the revenue the platform generates.

Enables AI assistants to store and retrieve data using the Walrus decentralized storage network. Supports blob storage operations, retrieval by ID, and blockchain-verified availability through the Sui network.

Provides LLMs with tools to interact with the MASV API. MASV is an easy-to-use and ultra-reliable managed file transfer service designed for teams of all sizes. It allows users to send and receive massive files without size limits, while ensuring data integrity and security through its robust cloud infrastructure that supports cloud, on-prem, and hybrid workflows. Learn more https://massive.io/

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 agents to interact with Insforge backend-as-a-service platform through the Model Context Protocol, providing tools for database management, authentication, and storage operations.

Enables the deployment of HTML content, folders, and full-stack projects to EdgeOne Pages to generate publicly accessible URLs. It integrates with edge functions and KV storage to provide fast content delivery and supports custom domain configuration.

The Model Context Protocol (MCP) Server built on Qiniu Cloud products supports users in accessing Qiniu Cloud Storage, intelligent multimedia services, and more through this MCP Server within the context of AI large model clients.

Provides access to organizational Sharepoint documents through the Microsoft Graph API, enabling search and retrieval of Sharepoint content for AI assistants.

Harnios is a self-hosted, MCP-based storage system that gives every AI assistant you use — Claude, ChatGPT, Cursor, or anything else — a shared, persistent memory of your business: knowledge base, skills, projects, operational tables, and reports, all in one place. Connect a new tool once, and it reads and writes through the same store instead of starting from zero.

Enables management of Zadara VPSA Storage Arrays and Object Storage endpoints, including volume operations, snapshot creation, and bucket management. It allows users to interact with storage resources and retrieve performance metrics using natural language or custom API requests.

Enables AI agents to search, retrieve, and share files by meaning across connected storage, with permission-aware access control and an audit trail.