"Ways to autonomously generate income" matching MCP servers:

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.

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.

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.

MCP server for AWS S3 — list buckets, browse objects, upload/download files, and generate presigned URLs.

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.

Connects Baidu Netdisk to MCP-compatible AI clients, enabling AI to safely read selected files and generate summaries, key points, to-dos, tags, and organization suggestions.

Enables AI agents to autonomously provision, pay for, and manage S3-compatible storage and vector databases without human intervention.

Integrates with Google Drive to enable listing, reading, and searching over files, with automatic export of Google Workspace documents to appropriate formats.

An MCP server for Datto SaaS Protection, providing tools to manage cloud backup and recovery for Microsoft 365 and Google Workspace data through Datto's API.

Enables LLMs and AI agents to browse, read, write, search, upload, organize, share, and monitor files across OpenList/AList-mounted storage through the Model Context Protocol. It includes safety controls such as read-only mode, path allowlists, and delete confirmation.

Enables AI agents to autonomously manage files on the Filecoin decentralized network through folder management, file uploads, and AI-powered semantic search. Provides seamless integration with Filecoin storage through simple MCP tool calls.

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.

A development guide and reference implementation for building a custom Baidu Netdisk MCP server, enabling AI assistants to manage files and shares on Baidu Pan.

An MCP server that enables saving and sharing Claude Desktop conversations, allowing users to store chats privately or make them public through a web interface.

An MCP server for managing and publishing 3D files using S3-compatible storage providers like Cloudflare R2 and AWS S3. It enables users to upload models, generate interactive 3D viewers, and manage temporary access via presigned URLs.

Enables reading and writing to Grist documents via natural language through MCP tools, allowing users to manage data, schemas, documents, and more using AI assistants like Perplexity.

MCP server for Infomaniak kDrive that enables natural, path-based read/write access to files. It supports browsing, searching, reading, uploading, renaming, moving, overwriting, and trashing items, with safety features like operation tokens and expiring private links.

Exposes a protected, stateless MCP endpoint over a Cloudflare-hosted camera pipeline, letting agents list active devices and pull hour- or minute-level JPEG contact sheets for any time window. Agents can also enumerate exact capture timestamps, compare 2–10 chosen frames in a single derived image, fetch unmodified original frames, and generate temporary download links.

Enables MCP servers to share large exports as short-lived, single-use capability URLs that customers can download without authentication, avoiding huge inline token responses.