a2ui vs skybridge

Two of the top projects in Agent and MCP starters, side by side: who leads on each score part and who each one suits, then setup, license, activity and what each review found.

#44th of 62 in Agent and MCP starters

a2ui

Protocol and renderers for agents to stream native UI instead of text

#1111th of 62 in Agent and MCP starters

skybridge

React framework for building MCP Apps with interactive UI views

Verdict

a2ui ranks higher, 87 to 78. Of the 4 score parts we measure for both, a2ui leads on 1, skybridge on 2 and 1 is even.

  • Adoptiona2ui leads by 46 points, 87 to 41: a wide gap.
  • FreshnessEven at 100.
  • Maintenanceskybridge leads by 3 points, 94 to 91: close to even.
  • Agent-readyskybridge leads by 40 points, 70 to 30: a wide gap.

Pick a2ui if you are

Developers adding agent-driven native UI to web or mobile apps

  • UI is validated data against a schema, with no executable code from the agent
  • Renderers for React, Angular, Lit, Flutter and SwiftUI from one protocol

Pick skybridge if you are

TypeScript developers building interactive MCP Apps for Claude and ChatGPT

  • Type inference from MCP tool definitions through to React views
  • Dev server with local emulator, hot module reload and tunnel to Claude and ChatGPT
a2ui vs skybridge: score parts and facts
What we comparea2uiskybridge
Score parts, out of 100
Adoption87, widely used41, known
Freshness100, active100, active
Maintenance91, healthy94, healthy
Agent-ready30, minimal70, partly
Facts from GitHub and the README
Stars17.2k2.2k
LicenseApache-2.0 (permissive)MIT (permissive)
Last commitNov 2026Nov 2026
Last releaseNov 2026Nov 2026
LanguageTypeScriptTypeScript
DockerNoNo
GPUNot neededNot needed
arm64 or Apple SiliconMentionedNot stated

a2ui

A2UI is a generative UI framework where agents emit UI as schema-validated data rather than code. It ships a streaming transport protocol, agent SDKs for Python, TypeScript and Dart, and native renderers for React, Angular, Lit, Flutter and SwiftUI. The host app controls which components the agent may use through a widget catalog.

Who it is for: Developers adding agent-driven native UI to web or mobile apps

Strengths

  • UI is validated data against a schema, with no executable code from the agent
  • Renderers for React, Angular, Lit, Flutter and SwiftUI from one protocol
  • Agent SDKs in Python, TypeScript and Dart, with A2A and ADK connectors
  • Browser Composer and Theater let you try it without installing

Weaknesses

  • Library and protocol only; no runnable full app without the quickstart
  • Protocol v1.1, sandboxed logic and templates are still roadmap items
  • Jetpack Compose is cited as a target but is not in the package list
  • TypeScript, LLM-agnostic (model-independent inference formats)

skybridge

Skybridge is a TypeScript framework for building MCP servers that render interactive React views inside Claude, ChatGPT, VS Code and other UI-enabled MCP clients. It provides a dev server with a local emulator, hot module reload and a tunnel, plus React hooks and end-to-end type inference from tool definitions to views. A CLI, an agent skill and example apps are included.

Who it is for: TypeScript developers building interactive MCP Apps for Claude and ChatGPT

Strengths

  • Type inference from MCP tool definitions through to React views
  • Dev server with local emulator, hot module reload and tunnel to Claude and ChatGPT
  • Abstracts differences between MCP clients so one app targets several hosts
  • Many runnable examples with live demos, including six OAuth provider integrations

Weaknesses

  • Tied to React and TypeScript; no other frontend stack is mentioned
  • Permanent tunnel, analytics and directory submission help are tied to the Alpic hosted service
  • Only useful with MCP clients that support UI views
  • No Docker image or compose file; self-hosting means a Node.js platform
  • TypeScript
  • Needs Node.js, npm

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