Fast.io is an AI-first cloud storage, file-sharing, and collaboration workspace platform designed for modern teams and autonomous AI agents. Evolving beyond conventional cloud drives, Fast.io combines high-speed global CDN delivery, custom-branded sharing portals, and automated file workflows with an extensive Model Context Protocol (MCP) toolset. With built-in Retrieval-Augmented Generation (RAG) and unified syncing across services like Google Drive, Dropbox, and OneDrive, Fast.io provides human teams and agentic workflows with a single, structured storage substrate to manage, retrieve, and share assets.
Use Cases
Agentic Storage & Context Substrate via MCP
Equip AI agents and developer assistants (Cursor, Claude Desktop, autonomous frameworks) with persistent file storage, directory manipulation, and retrieval tools.
Built-In Document RAG & Semantic Retrieval
Query unstructured document repositories directly through built-in vector indexing and RAG endpoints without configuring separate vector databases.
Custom-Branded Client File Portals
Deliver high-volume digital assets, design deliverables, and documentation to external stakeholders via customizable, white-labeled download portals with custom domains.
Multi-Cloud Storage Consolidation
Centralize and sync files distributed across Google Drive, Dropbox, Box, and OneDrive into a unified management canvas.
High-Speed CDN Asset Distribution
Host and deliver static assets, media files, and software artifacts globally backed by automated edge caching and high-bandwidth CDN pipelines.
Features & Benefits
Comprehensive MCP Tool Ecosystem (250+ Tools)
Native Model Context Protocol server exposing rich agent capabilities: file CRUD operations, permission management, commenting, and automated workflow triggers.
Native Retrieval-Augmented Generation (RAG)
Automatically indexes uploaded PDFs, text documents, and assets for semantic semantic search and retrieval by LLMs and agent runners.
Pioneer in AI-Native & MCP Storage Integration
Direct integration into the Model Context Protocol ecosystem makes it one of the few cloud storage platforms natively built for AI agent interaction.
Eliminates Standalone Vector RAG Infrastructure
Built-in semantic chunking and indexing allows teams to chat with files and query repositories without setting up separate vector DBs.
Enterprise Client Delivery Polish
High-speed global CDN distribution combined with custom branding provides an agency-grade delivery experience.
Cons
Shifting Market Positioning
Teams expecting a simple legacy Dropbox replacement may experience an initial learning curve adapting to its AI-first and MCP-centric toolset.
Bandwidth & Concurrency Constraints on Free Tiers
Ultra-high-throughput CDN distributions or intensive multi-agent automated scraping will require upgrading to dedicated business/enterprise quotas.