広告掲載
MCP.so
ログイン
V

Vuda (visual Ui Debug Agent) MCP Server

@samihalawa

リポジトリ

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

作者

samihalawa

投稿者

samihalawa

Vuda (visual Ui Debug Agent) MCP Server について

概要はまだありません

#vuda#visual-debugging#ui-testing

Vuda (visual Ui Debug Agent) MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "github": {
      "name": "VUDA (Visual UI Debug Agent)",
      "url": "https://github.com/samihalawa/visual-ui-debug-agent-mcp",
      "innovation": true,
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "GITHUB_PERSONAL_ACCESS_TOKEN=YOUR_GITHUB_TOKEN",
        "samihalawa/visual-ui-debug-agent-mcp"
      ],
      "env": {
        "GITHUB_PERSONAL_ACCESS_TOKEN": "YOUR_GITHUB_TOKEN"
      }
    }
  }
}

Vuda (visual Ui Debug Agent) MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンでサーバーのエンドポイントに接続し、ツール一覧を取得できます。

概要

What is Vuda (visual Ui Debug Agent)?

VUDA is an autonomous debugging agent that empowers AI models to visually analyze, test, and debug web interfaces through Playwright. It enables any AI model—even those without built-in vision capabilities—to visually inspect web pages, find UI bugs, test user workflows, and validate application performance without human intervention.

How to use Vuda (visual Ui Debug Agent)?

Install via an MCP gateway, the quick installation script, npm (npm install -g visual-ui-debug-agent-mcp), Docker (docker pull luigi1234/visual-ui-debug-agent:latest), or Smithery. After installation, start the server with the command vuda or visual-ui-debug-agent. Use the provided MCP tools (e.g., enhanced_page_analyzer, ui_workflow_validator) by calling them through your MCP client.

Key features of Vuda (visual Ui Debug Agent)

  • Performs comprehensive visual analysis of web pages
  • Detects UI issues by inspecting visual elements and properties
  • Automatically tests common user workflows without manual scripts
  • Validates API endpoints and verifies backend responses
  • Tracks visual changes between application versions
  • Monitors console logs for errors and warnings
  • Analyzes performance metrics to identify bottlenecks
  • Converts visual information into structured data for non‑vision models

Use cases of Vuda (visual Ui Debug Agent)

  • Visual regression testing: compare page states to catch unexpected visual changes
  • End‑to‑end user flow validation: automate login, navigation, and feature tests
  • Performance optimization: measure load metrics and identify slow elements
  • Automated UI debugging: find and report layout or functionality issues

よくある質問

1

What problem does VUDA solve?

It allows any AI model to visually debug web interfaces by converting visual information into structured data, enabling analysis without the model needing built‑in vision.

2

What installation methods are available?

VUDA can be installed via MCP gateway, a quick installation script, npm (global or per‑platform packages), Docker Hub, or Smithery integration.

3

How does it help non‑vision AI models?

It provides structured data about interactive elements (tag name, text, bounds, visibility) so models can understand UI structure without processing images.

4

Does VUDA support CI/CD integration?

Yes, it includes GitHub Actions workflows for building, testing, publishing to npm and Docker, and deploying to Smithery.

5

What runtime dependencies are required?

VUDA uses Playwright under the hood; it requires Node.js and the Playwright browser binaries. No specific runtime restrictions are mentioned in the README.

コメント

「AI とエージェント」の他のコンテンツ

InsumerAPI

InsumerAPI

Wallet auth for AI agents: send a blockchain wallet and conditions, get a signed yes or no across 37 chains, never the balance. Hosted at https://api.insumermodel.com/mcp with no key (10 tools), or run locally with npx -

YouSpot MCP

YouSpot

Give an agent access to your YouSpot CRM: contacts, companies, notes, files, and your connected Gmail, Calendar, HubSpot, LinkedIn, Slack and X.

早

早起鸟儿喊真人验真

shenshaoyin

早起鸟儿喊真人验真 is a remote MCP server available at http://121.40.18.232.

HeyLead: LinkedIn Outreach & Lead Generation MCP Server

D4umak

HeyLead: AI agent for LinkedIn outreach. Finds the right people, writes in your voice, follows up and handles replies, from Claude Code, Cursor, any MCP client or a web dashboard.

9

PDI Bridge for Claude

jxrlabs

Connect Claude Desktop to your ServiceNow PDI. Query records, inspect Business Rules, review ACLs, and troubleshoot against your live instance.

広告掲載