"MCP server for finding research data and models for AI/ML training" matching MCP servers:

Enables secure one-time encrypted file and note sharing by encrypting data locally before upload and providing tools for sending, listing, checking, and revoking links.

Enables running ML experiments from a local laptop by coordinating GitHub for code, Kaggle for data and GPU training, Weights & Biases for tracking runs, and Google Drive for small artifacts.

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 AI agents to query S3 data lakes using natural language, with support for CSV, JSON, Parquet and tools for data discovery, analysis, and metadata exploration.

MCP server giving Claude access to Tuta mail, calendar, contacts and drive. Supports mail modes (dedicated/shared/folder), trusted sender filtering with E2E verification, and Docker-based setup.

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.

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

This read-only MCP Server allows you to connect to Azure Data Lake Storage data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

Backup AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables AI assistants to generate images using Cloudflare Workers AI models directly through the Model Context Protocol. It supports various models like Flux and Stable Diffusion, providing seamless image generation and storage via Cloudflare R2.

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).

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

A read-only MCP server that exposes a configured Google Drive folder to MCP clients, enabling them to list, search, and extract content from various file formats like Excel, CSV, PDF, DOCX, and images.

MCP server for 2DAI that enables AI assistants to generate images and videos, upload references, browse the public feed, and manage cloud drive on a 2DAI account.

An MCP server that exposes Backblaze B2 Cloud Storage as tools any MCP-compatible AI client can call. Manage B2 by talking to an assistant -- list buckets, upload, download, delete versions, and check usage against a budget.

Enables users to upload files and generate tracked, shareable links directly from AI agents like Claude Desktop or Cursor. It supports publishing various file formats including text, PDFs, and images, while providing tools for artifact management and analytics.

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.

Provides decentralized storage for AI agents, enabling them to save generated content to MEFS and retrieve data via content identifiers.

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.