{"type":"mcp_client","name":"AIaW","description":"This repository offers AI as Workspace, a versatile AI client supporting multiple platforms and providers, featuring workspaces, local data storage with cloud sync, and a user-friendly conversation interface for enhanced AI interaction.","category":"Productivity","language":"Vue","stars":1824,"forks":68,"owner":"NitroRCr","github_url":"https://github.com/NitroRCr/AIaW","homepage":"https://aiaw.app","setup":"## Setup\n\nInstall the dependencies:\n\n```bash\npnpm i\n```\n\nStart the app in development mode (hot-code reloading, error reporting, etc.):\n\n```bash\nquasar dev\n```\n\nLint the files:\n\n```bash\npnpm lint\n```\n\nBuild the app for production:\n\n```bash\n# SPA\nquasar build\n\n# PWA\nquasar build -m pwa\n```","tools":"## Available Tools\n\n1.  Consistent Experience Across All Platforms (Supports Windows, Linux, Mac OS, Android, Web (PWA) and multiple AI providers).\n2.  Conversation Interface (Offers user input preview, branch-based modifications, customizable shortcuts, and quick scrolling).\n3.  Multiple Workspaces (Allows creating and grouping workspaces with multiple assistants).\n4.  Data Storage (Stores data locally with cloud synchronization and multi-window collaboration).\n5.  Design Details (Supports text file attachments, pasting large text blocks, quoting previous messages, and copying Markdown).\n6.  MCP Protocol (Supports MCP Tools, Prompts, Resources with STDIO and SSE connections).\n7.  Artifacts (Converts assistant responses into user-editable artifacts with version control).\n8.  Plugin System (Includes built-in and marketplace plugins, compatible with some LobeChat plugins).\n9.  Lightweight and High Performance (Provides quick startup and smooth conversation switching).\n10. Dynamic Prompts (Enables creating reusable prompts with template syntax and workspace variables).","faq":null,"created_at":"2024-08-31T05:37:18+00:00","updated_at":"2025-03-28T10:11:56+00:00","source_url":"https://model-context-protocol.com/clients/ai-workspace-llm-client-cross-platform","related_articles":[]}