a2ui vs mcp-use

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

#55th of 62 in Agent and MCP starters

mcp-use

TypeScript framework for building MCP servers with React Views and an Inspector

Verdict

Both score 87; a2ui ranks higher on stars, 17,177 to 10,878. Of the 4 score parts we measure for both, a2ui leads on 1, mcp-use on 2 and 1 is even.

  • Adoptiona2ui leads by 6 points, 87 to 81.
  • FreshnessEven at 100.
  • Maintenancemcp-use leads by 4 points, 95 to 91: close to even.
  • Agent-readymcp-use leads by 15 points, 45 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 mcp-use if you are

TypeScript developers building MCP servers and ChatGPT or Claude apps

  • Zod schemas flow from tool input and output into React View props
  • Built-in Inspector, tunnel (mcp-use dev --tunnel) and View screenshot CLI
a2ui vs mcp-use: score parts and facts
What we comparea2uimcp-use
Score parts, out of 100
Adoption87, widely used81, widely used
Freshness100, active100, active
Maintenance91, healthy95, healthy
Agent-ready30, minimal45, minimal
Facts from GitHub and the README
Stars17.2k10.9k
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)

mcp-use

mcp-use is a TypeScript framework for writing MCP servers with Zod-typed tools and React Views bound to those tools, so they render as interactive apps in ChatGPT and Claude. It ships a browser Inspector at /mcp/inspector, a headless CLI client with View screenshots, and tunneling for testing against hosted clients. It builds on the official TypeScript SDK v2 and deploys to Manufact or self-hosted.

Who it is for: TypeScript developers building MCP servers and ChatGPT or Claude apps

Strengths

  • Zod schemas flow from tool input and output into React View props
  • Built-in Inspector, tunnel (mcp-use dev --tunnel) and View screenshot CLI
  • Scaffold via npx create-mcp-use-app gives a running server and Inspector
  • MIT licensed; separate client, agent and Python packages exist

Weaknesses

  • Benchmark comparisons in the README are published by the project itself
  • Managed deploy, observability and evals tie into the commercial Manufact platform
  • v2 is a breaking change; v1 projects need migration
  • Server framework is TypeScript; Python support is a separate package
  • TypeScript
  • Needs Node.js, npm, zod, React

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