io.github.uarlouski/testrail-mcp-server

🌟 Why Choose TestRail MCP Server?

Managing test cases manually is tedious and error-prone. With the TestRail MCP Server, your AI assistant (whether it’s Claude, Cursor, Windsurf, or any MCP-compliant client) interacts directly with your TestRail instance. Instruct it to find test cases, draft new ones, kick off test runs, and record test results—all through natural conversation.

No context switching. No tedious copy-pasting. Just ask your AI.

✨ Key Features & Capabilities

🚀 Quick Start Guide

1. Obtain Your TestRail API Key

Navigate to My Settings → API Keys in your TestRail platform and generate a new key for authentication.

2. Configure Your MCP Client

Add the server to your chosen MCP client configuration. The Claude Desktop example is shown below; Cursor, Windsurf, and other clients use the same pattern (see the collapsible sections further down).

🤖 Claude Desktop

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "testrail": {
      "command": "npx",
      "args": ["-y", "@uarlouski/testrail-mcp-server@latest"],
      "env": {
        "TESTRAIL_INSTANCE_URL": "https://your-instance.testrail.io",
        "TESTRAIL_USERNAME": "your@email.com",
        "TESTRAIL_API_KEY": "your-api-key",
        "TESTRAIL_ENABLE_SHARED_STEPS": "true"
      }
    }
  }
}

Open Settings → Features → MCP and add a new configuration:

{
  "mcpServers": {
    "testrail": {
      "command": "npx",
      "args": ["-y", "@uarlouski/testrail-mcp-server@latest"],
      "env": {
        "TESTRAIL_INSTANCE_URL": "https://your-instance.testrail.io",
        "TESTRAIL_USERNAME": "your@email.com",
        "TESTRAIL_API_KEY": "your-api-key"
      }
    }
  }
}

Update your Windsurf MCP configuration file:

{
  "mcpServers": {
    "testrail": {
      "command": "npx",
      "args": ["-y", "@uarlouski/testrail-mcp-server@latest"],
      "env": {
        "TESTRAIL_INSTANCE_URL": "https://your-instance.testrail.io",
        "TESTRAIL_USERNAME": "your@email.com",
        "TESTRAIL_API_KEY": "your-api-key"
      }
    }
  }
}

Any MCP-compliant client can utilize this server. The pattern is universal—point your client at the npx command with the required environment variables.

3. See It in Action

Once configured, turbo-charge your QA workflow by asking your AI assistant:

• "List all projects in TestRail to find the latest active project."
• "Show me all active users in the project to find the right assignee."
• "Show me all test cases in section 5 of project 3."
• "Create a comprehensive test case for 'Login Validation' with detailed steps."
• "Start a new test run containing cases from section 5."
• "Mark test case ID 1042 as passed with the comment 'Tested successfully on staging'."

⚙️ Environment Variables & Security Controls

🛠️ Complete Tool Reference

The TestRail MCP Server provides heavily typed, descriptive tools designed specifically for LLM interaction:

💡 Pro Tip: Handling Large Data Sets & Permissions

• Large Data Sets: For list-based tools like get_cases and get_sections, you can supply the output_file parameter with an absolute file path. The server will bypass the LLM context window by writing the raw JSON directly to disk and returning a concise summary, allowing you to run external scripts against the export!
• Intelligent User Fallback: When fetching users using get_users without admin rights, TestRail denies access globally. The server dynamically catches this permission restriction and falls back to polling all active projects in parallel, retrieving and deduplicating active users so assignees and reviewers can always be mapped.

🔭 Discovery & Navigation

📋 Test Case Management

▶️ Test Execution & Tracking

🔗 Shared Steps (Optional)

🗑️ Deletion

🧠 System Metadata

🤝 Contributing

Open-source contributions are actively welcomed! Please feel free to open an issue for feature requests or submit a pull request for improvements.

📜 License

This project is securely licensed under the Apache License 2.0.