MCP Server LogoMCP Server
MCPsカテゴリディレクトリ投稿する
投稿する
MCPsカテゴリディレクトリ投稿する
投稿する

MCPサーバー

MCPサーバーのリスト、Awesome MCPサーバーとClaude MCP統合を含む。AIの能力を強化するためのMCPサーバーを検索して発見します。

お問い合わせ

[email protected]

MCPサーバーについて

プライバシーポリシー利用規約

リソース

モデルコンテキストプロトコルMCPスターターガイドClaude MCPサーバー

コミュニティ

GitHub

© 2025 mcpserver.cc © 2025 MCPサーバー. 全著作権所有.

プライバシーポリシー利用規約
  1. Home
  2. /Categories
  3. /Automation & Scripting
  4. /Debugg Ai Mcp
Debugg Ai Mcp

Debugg Ai Mcp

作成者 debugg-ai•20 days ago
サイトを訪問する

Zero-Config, Fully AI-Managed End-to-End Testing for all code gen platforms.

Automation & Scripting
automationbrowserend-to-end-testingweb

🧪 Official MCP Server for Debugg AI

AI-driven browser automation and E2E test server implementing the Model Context Protocol (MCP), designed to help AI agents test UI changes, simulate user behavior, and analyze visual outputs of running web applications — all via natural language and CLI tools.

End to end testing used to be a nightmare. Not just to setup, but to manage over time as you made changes to your app.

Debugg AI’s MCP server offers a NEW way to test, where you never have to worry about setting up playwright, local browsers or proxies with it fully remote, managed browsers that simply connect to a server running locally or remotely via a secure tunnel.

That means no distracting chrome pop ups as it’s running tests, no managing chrome or playwright versions, and best of all - ZERO CONFIGURATION. Just grab an API key and add us to your MCP server list.

Should you want to later rerun those tests or create a suite of them to run in your CI / CD pipeline, you can see all historical test results in your dashboard - Debugg.AI App

Debugg AI MCP server

🚀 Features

  • 🧠 MCP Protocol Support Full MCP server implementation with CLI and tool registry support.

  • 🧪 End-to-End Test Automation Trigger UI tests based on user stories or natural language descriptions via the debugg_ai_test_page_changes tool.

  • 🌐 Localhost Web App Integration Test your running dev app on any localhost port with simulated user flows.

  • 🧾 MCP Tool Notifications Sends real-time progress updates back to clients with step descriptions and UI state goals.

  • 🧷 Screenshot Support Capture final visual state of the page for LLMs with image rendering support.

  • 🧱 Stdio Server Compatible Plug into any MCP-compatible client (like Claude Desktop, LangChain agents, etc.) via stdin/stdout.


Examples

Input prompt: “Test the ability to create an account and login”

Results:

**Task Completed**

- Duration: 86.80 seconds
- Final Result: Successfully completed the task of signing up and logging into the account with the email '[email protected]'.
- Status: Success

Full Demo:

Watch a more in-depth, Full Use Case Demo


🛠️ Quickstart

Ensure you have created a free account and generated an API Key - DebuggAI

Option 1: NPX (Local Development)

npx -y @debugg-ai/debugg-ai-mcp

Use this when testing or integrating into tools like Claude Desktop or your own AI agent.

Option 2: Docker

docker run -i --rm --init \
  -e DEBUGGAI_API_KEY=your_api_key \
  -e TEST_USERNAME_EMAIL=your_test_email \
  -e TEST_USER_PASSWORD=your_password \
  -e DEBUGGAI_LOCAL_PORT=3000 \
  -e DEBUGGAI_LOCAL_REPO_NAME=your-org/your-repo \
  -e DEBUGGAI_LOCAL_BRANCH_NAME=main \
  -e DEBUGGAI_LOCAL_REPO_PATH=/app \
  -e DEBUGGAI_LOCAL_FILE_PATH=/app/index.ts \
  quinnosha/debugg-ai-mcp

🧰 MCP Tool: debugg_ai_test_page_changes

Description

Run an end-to-end test on a running web app, testing a UI feature or flow described in natural language. Allows AI agents in ANY code gen platform to quickly evaluate proposed changes and ensure new functionality works as expected.

Input Parameters

Name Type Required Description
description string ✅ What feature or page to test (e.g. “Signup page form”)
localPort number ❌ Port of your running app (default: 3000)
repoName string ❌ GitHub repo name
branchName string ❌ Current branch
repoPath string ❌ Absolute path to the repo
filePath string ❌ File to test

🧪 Example Claude Desktop Config

{
  "mcpServers": {
    "debugg-ai-mcp": {
      "command": "npx",
      "args": ["-y", "@debugg-ai/debugg-ai-mcp"],
      "env": {
        "DEBUGGAI_API_KEY": "YOUR_API_KEY",
        "TEST_USERNAME_EMAIL": "[email protected]",
        "TEST_USER_PASSWORD": "supersecure",
        "DEBUGGAI_LOCAL_PORT": 3000,
        "DEBUGGAI_LOCAL_REPO_NAME": "org/project",
        "DEBUGGAI_LOCAL_BRANCH_NAME": "main",
        "DEBUGGAI_LOCAL_REPO_PATH": "/Users/you/project",
        "DEBUGGAI_LOCAL_FILE_PATH": "/Users/you/project/index.ts"
      }
    }
  }
}

🔐 Environment Variables

Variable Description Required
DEBUGGAI_API_KEY API key for calling DebuggAI backend ✅
TEST_USERNAME_EMAIL Email of test user account ❌
TEST_USER_PASSWORD Password of test user account ❌
DEBUGGAI_LOCAL_PORT Local port your app runs on ✅
DEBUGGAI_LOCAL_REPO_NAME GitHub repo name ❌
DEBUGGAI_LOCAL_BRANCH_NAME Branch name ❌
DEBUGGAI_LOCAL_REPO_PATH Local path to repo root ❌
DEBUGGAI_LOCAL_FILE_PATH File to test ❌

🧑‍💻 Local Development

## Clone the repo and install dependencies
npm install

## Copy the test config and insert your creds
cp test-config-example.json test-config.json

## Run the MCP server locally
npx @modelcontextprotocol/inspector --config debugg-ai-mcp/test-config.json --server debugg-ai-mcp

📁 Repo Structure

.
├── e2e-agents/             # E2E browser test runners
├── services/               # Client for DebuggAI API
├── tunnels /               # Secure connections to remote web browsers
├── index.ts                # Main MCP server entry
├── Dockerfile              # Docker build config
└── README.md

🧱 Built With

  • Model Context Protocol SDK

💬 Feedback & Issues

For bugs, ideas, or integration help, open an issue or contact the DebuggAI team directly.


🔒 License

MIT License © 2025 DebuggAI


Made with 🩸, 💦, and 😭 in San Francisco

前提条件

  • •サーバーのドメインに精通している
  • •関連技術の基本的な理解
  • •Automation & Scriptingの知識

おすすめのサーバー

Mcp Duckduckgo Search

Mcp Duckduckgo Search

Logseq Mcp

Logseq Mcp

simple logseq mcp server

Mcp Pubmed Server

Mcp Pubmed Server

PubMed MCP Server for accessing research papers

もっと見る → →

詳細

作成日

June 11, 2025

最終更新日

June 11, 2025

カテゴリー

Automation & Scripting

作成者

debugg-ai

シェアする

もっと見る

Mcp Selenium

Mcp Selenium

An MCP implementation for Selenium WebDriver

Mcp Server Taskwarrior

Mcp Server Taskwarrior

MCP Server for TaskWarrior!

Systemprompt Mcp Gmail

Systemprompt Mcp Gmail

A specialized Model Context Protocol (MCP) server that enables you to search, read, delete and send emails from your Gmail account, leveraging an AI Agent to help with each operation. Optimized for Systemprompt MCP Voice client.

Mcp Guide

Mcp Guide

A beginner-friendly guide server that helps users understand MCP concepts, provides interactive examples, and demonstrates best practices for building MCP integrations. Features tools for exploring MCP capabilities, resources for learning core concepts, and prompts for guided tutorials.