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fast-io

Configure MCP-enabled Fast.io workspaces with PKCE authentication and access controls.

52|3|Updated Apr 3, 2026
Search Tags:#rag#mcp#workspaces#ai-agents#semantic-search#shares#fast.io
One-click install
npx skills add https://github.com/Zhow01/SkillAttack --skill fast-io-zhow01
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fast-io
Source: https://github.com/Zhow01/SkillAttack/tree/main/data/hot100skills/093_dbalve_fast-io
Command: npx skills add https://github.com/Zhow01/SkillAttack --skill fast-io-zhow01

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Fast.io offers an MCP-enabled platform that unifies agentic teamwork by providing shared workspaces, AI-assisted document handling, and easily controlled exchanges (shares, portals, and QuickShare) without heavy infrastructure, reducing coordination overhead and enabling scalable collaboration across humans and agents.

Core Features & Use Cases

  • Shared workspaces with 50 GB storage, file versioning, full-text and semantic search, and optional intelligence for RAG across documents and code.
  • AI-powered interactions through two chat modes: chat and chat_with_files, with folder/file scope support when intelligence is on.
  • Flexible sharing models: Send, Receive, and Exchange modes, include Live workspace-backed shares, and portal-style portals for external collaboration.
  • Robust authentication, including PKCE browser login, API keys, and org/workspace discovery across internal and external orgs.

Quick Start

Install Fast.io in your MCP runtime, load this skill, and begin using AI-assisted workspaces for agent-human collaboration.

Frequently Asked Questions about fast-io

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I enable semantic search and RAG for shared workspace documents?▼

You enable semantic search and RAG by toggling intelligence on within Fast.io shared workspaces. This activates folder and file scope support for AI chats, allowing agents to retrieve context across documents and code.

What authentication methods are supported for MCP-enabled AI agents?▼

MCP-enabled AI agents support PKCE browser login, API keys, and Bearer authentication. These methods secure access controls and enable org and workspace discovery across internal and external organizations.

How does an AI agent interact with files in a shared workspace?▼

An AI agent interacts with files using chat and chat_with_files modes. When intelligence is toggled on, these modes support folder and file scoping for RAG across documents and code.

Can I use external portals for collaboration without giving full workspace access?▼

You can use portal-style portals and flexible sharing models like Send, Receive, and Exchange modes. These provide external collaboration without granting full access to the live workspace.

What are the limitations of AI-assisted collaboration in Fast.io workspaces?▼

Fast.io workspaces limit storage to 50 GB per workspace. While file versioning and full-text search are standard, semantic search and AI chat scoping require intelligence to be explicitly toggled on.

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