Store, share, and query files via the Fast.io MCP server.
npx skills add https://github.com/MediaFire/fastio-skills --skill fast-io
Please help me install this Agent Skill. Skill: fast-io Source: https://github.com/MediaFire/fastio-skills/tree/main Command: npx skills add https://github.com/MediaFire/fastio-skills --skill fast-io
Fast.io provides AI agents with a unified platform to store their outputs, create branded data rooms, and query documents using built-in AI and retrieval-augmented generation. This enables end-to-end workflows from generation to handoff to humans without leaving a single integrated context.
Store files and outputs in organized workspaces.
Create branded shares (Send/Receive/Exchange) with access controls and expiration.
Query content via AI with indexed search, citations, and optional file attachments or folder-scoped RAG.
Manage workspaces, branding, and real-time collaboration, including transferring ownership to humans.
Use Case: An autonomous agent uploads a project report to a workspace, creates a branded Send share for a client, queries the document with AI, and then transfers ownership when the job is complete.
Use the fast-io skill to store an output, set up a branded share, and run an AI query against indexed documents.
High-intent search queries and answers about installing and using this skill.
You can store and query files for AI agents by connecting to the Fast.io MCP server, which exposes 14 action-based routing tools to manage workspaces, upload outputs, and run AI-assisted content queries.
Yes, you can create branded data rooms by setting up Send, Receive, or Exchange shares with specific access controls and expiration dates directly through the MCP server's file management tools.
Retrieval-augmented generation works by indexing uploaded documents within your workspace, allowing AI agents to perform folder-scoped queries that return cited content and optional file attachments.
The best way to hand off files to humans is to upload the outputs to a workspace, create a branded share link with appropriate access controls, and transfer workspace ownership once the automated workflow is complete.
Yes, the MCP server supports autonomous workflows across multiple workspaces by allowing AI agents to store files, query indexed content with RAG, manage branding, and handle real-time collaboration sequentially.
You need folder-scoped RAG when querying specific subsets of indexed documents within a workspace, ensuring the AI generates answers with citations limited to the files stored in that targeted folder scope.
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