TestDino

Integrate TestDino with AI assistants like Claude and Cursor to get intelligent insights about your Playwright test results, automated debugging, and AI-powered test analysis.

What is MCP?

Model Context Protocol (MCP) is an open standard introduced by Anthropic that enables AI models to interact with external tools and resources in a consistent way. It allows AI assistants to access real-time data and perform actions through standardized interfaces.

What is TestDino MCP Server?

TestDino MCP server is a context provider that connects your AI tools (Claude Desktop, Cursor, and other MCP-compatible clients) with your Playwright test results. It enables AI assistants to:

• Analyze failed tests and identify root causes
• Access test execution history and trends
• Retrieve detailed error logs and debugging information
• Upload local test results for analysis
• Provide insights on test flakiness and performance

Quick start steps

1. Installation

Install the TestDino MCP server globally via npm:

npm install -g testdino-mcp

Alternatively, use npx to run without installation (recommended for trying it out):

npx -y testdino-mcp

2. Configuration

Configure TestDino MCP server with your preferred AI assistant:

2.1 Cursor IDE

1. Open Cursor Settings → MCP → Enable MCP

2. Locate your mcp.json configuration file:

   • Windows: %APPDATA%\Cursor\mcp.json or .cursor/mcp.json in your project root
   • macOS/Linux: ~/.cursor/mcp.json or .cursor/mcp.json in your project root

3. Add the TestDino MCP server configuration:

{
  "mcpServers": {
    "TestDino": {
      "command": "npx",
      "args": ["-y", "testdino-mcp"],
      "env": {
        "TESTDINO_API_KEY": "your-api-key"
      }
    }
  }
}

For global installation:

{
  "mcpServers": {
    "TestDino": {
      "command": "testdino-mcp",
      "env": {
        "TESTDINO_API_KEY": "your-api-key"
      }
    }
  }
}

4. Restart Cursor completely
5. Verify the installation by checking Settings → MCP - "TestDino" should appear in the server list

2.2 Claude Desktop

1. Locate your Claude Desktop configuration file:

   • Windows: %APPDATA%\Roaming\Claude\claude_desktop_config.json
   • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
   • Linux: ~/.config/Claude/claude_desktop_config.json

2. Add the TestDino MCP server configuration:

{
  "mcpServers": {
    "TestDino": {
      "command": "npx",
      "args": ["-y", "testdino-mcp"],
      "env": {
        "TESTDINO_API_KEY": "your-api-key"
      }
    }
  }
}

For global installation:

{
  "mcpServers": {
    "TestDino": {
      "command": "testdino-mcp",
      "env": {
        "TESTDINO_API_KEY": "your-api-key"
      }
    }
  }
}

3. Restart Claude Desktop to apply the configuration

3. Get Your TestDino API Key

To authenticate the MCP server with TestDino:

1. Log in to your TestDino account (opens in a new tab)
2. Navigate to Project Settings → API Keys
3. Generate a new API key or copy an existing one
4. Replace your-api-key in the configuration files above with your actual API key

4. Example AI Prompts

Once configured, you can use natural language prompts with your AI assistant:

Check TestDino health

Show me all failed tests from the last run

Upload my latest Playwright test results

What are the most flaky tests from the last 7 days?

Analyze the failures in test run #12345

Features & Capabilities

The TestDino MCP server provides AI assistants with powerful tools to analyze and debug your Playwright tests:

Available Tools

What AI Assistants Can Do

With access to these tools, AI assistants can help you:

• Debug Test Failures: Analyze error messages, stack traces, and execution logs to identify root causes
• Monitor Test Health: Track test stability, flakiness rates, and performance trends over time
• Generate Reports: Summarize test run results and highlight critical issues
• Optimize Tests: Identify slow tests, flaky tests, and tests that need attention
• Upload Results: Push local test results to TestDino for centralized tracking and analysis
• Historical Analysis: Compare test performance across different commits, branches, and environments

Common Use Cases

Ask your AI assistant to help with tasks like:

• "Please fix this flaky test"
• "Summarize my last test run and highlight critical failures"
• "What were the top 5 flaky tests in the last 30 days?"
• "Which test specs took the longest to run in the last week?"
• "Show me all failed tests from the develop branch"
• "Upload my latest Playwright test results to TestDino"
• "Compare test performance between the main and feature branch"
• "What's causing the authentication tests to fail?"

Next Steps

• Tools Reference - Detailed specifications for all available MCP tools
• Troubleshooting - Common issues and solutions