Debugg.ai Mcp: Zero Config, Ai Managed End To End Tests

创建者

debugg-aia year ago

🧪 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.

# browser automation

# code testing

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内容

🚀 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.

服务器配置

{
  "mcpServers": {
    "debugg-ai-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@debugg-ai/debugg-ai-mcp"
      ],
      "env": {
        "DEBUGGAI_API_KEY": "your key here",
        "TEST_USERNAME_EMAIL": "test email here",
        "TEST_USER_PASSWORD": "test password here",
        "DEBUGGAI_LOCAL_PORT": 3000
      }
    },
    "debugg-ai-mcp-docker": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "--init",
        "-e",
        "DEBUGGAI_API_KEY=your key here",
        "-e",
        "DEBUGGAI_LOCAL_PORT=3000",
        "quinnosha/debugg-ai-mcp"
      ],
      "env": {
        "DEBUGGAI_API_KEY": "your key here",
        "DEBUGGAI_LOCAL_PORT": 3000
      }
    }
  }
}

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