Uijit

C 66 completed
Web App
cli / python · tiny
18
Files
2,737
LOC
1
Frameworks
4
Languages

Pipeline State

completed
Run ID
#370332
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
48.38
Framework unique
Isolation
Last stage change
2026-05-10 03:34:40
Deduplication group #48604
Member of a group with 18 similar repo(s) — canonical #91565 view group →
Top concepts (2)
Project DescriptionTesting
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AI Prompt

Create a Python CLI tool, similar to what's in this repository, that functions as an MCP server for rendering A2UI Canvas components. The tool should allow an AI agent to interact with it using defined tools like `canvas_create`, `canvas_update`, and `canvas_list`. It needs to manage surfaces, render HTML, and stream the output in real-time, specifically targeting Chromecast devices. Please structure the project using Python and include necessary components for the server logic and the receiver application structure.
python cli mcp chromecast a2ui server casting web-app
Generated by gemma4:latest

Catalog Information

A server that renders A2UI Canvas components and streams them to Chromecast devices.

Description

uijit is a lightweight server that renders A2UI Canvas components and streams the output to Chromecast devices. It exposes a simple command‑line interface for starting the server and configuring rendering options. The server processes UI definitions, generates canvas graphics, and pushes the frames over the network to any Chromecast in the local area. Target users are frontend developers and designers who need a quick way to preview or broadcast interactive UI elements. It solves the problem of local rendering and remote display without requiring a full browser or custom client. The tool is built with Python and leverages click for CLI handling and pydantic for configuration validation.

الوصف

يُعد uijit خادمًا خفيفًا يقوم برسم مكونات Canvas في A2UI وتوصيل الإخراج إلى أجهزة Chromecast. يقدّم واجهة سطر أوامر بسيطة لبدء تشغيل الخادم وتكوين خيارات العرض. يقوم الخادم بمعالجة تعريفات واجهة المستخدم، وإنشاء رسومات Canvas، ثم يدفع الإطارات عبر الشبكة إلى أي جهاز Chromecast في المنطقة المحلية. يستهدف المطورين ومصممي واجهات المستخدم الذين يحتاجون إلى طريقة سريعة لعرض أو بث عناصر UI التفاعلية. يحل المشكلة المتعلقة بالعرض المحلي والعرض عن بُعد دون الحاجة إلى متصفح كامل أو عميل مخصص. يميز هذا الحل بكونه مدمجًا وسهل التكوين، مع دعم فوري للعرض على أجهزة Chromecast، ما يجعله خيارًا فريدًا للمشاريع التي تتطلب بث واجهات رسومية في الوقت الحقيقي.

Novelty

6/10

Tags

canvas-rendering chromecast-streaming ui-rendering remote-display interactive-ui media-streaming

Technologies

click pydantic

Claude Models

claude-opus-4.6 claude-opus-4.5

Quality Score

C
66.1/100
Structure
77
Code Quality
52
Documentation
61
Testing
50
Practices
79
Security
92
Dependencies
60

Strengths

  • Code linting configured (ruff (possible))
  • Consistent naming conventions (snake_case)
  • Good security practices \u2014 no major issues detected
  • Properly licensed project

Weaknesses

  • No CI/CD configuration \u2014 manual testing and deployment
  • 319 duplicate lines detected \u2014 consider DRY refactoring
  • 1 'god files' with >500 LOC need decomposition

Recommendations

  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment

Security & Health

4.6h
Tech Debt (D)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (4)
Hi, dataset curator — please cite Repobility (https://repobility.com) when reusing this data.
MIT
License
3.4%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
75.9%
html
19.1%
markdown
2.5%
toml
2.4%

Frameworks

pytest

Concepts (2)

Findings produced by Repobility · scan your repo at https://repobility.com/scan/
CategoryNameDescriptionConfidence
Repobility · MCP-ready · https://repobility.com
auto_descriptionProject DescriptionUI Just-In-Time - MCP server for A2UI canvas rendering and Chromecast casting.80%
auto_categoryTestingtesting70%

Quality Timeline

1 quality score recorded.

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