TestRail MCP Server

A Model Context Protocol (MCP) server for TestRail that allows interaction with TestRail’s core entities through a standardized protocol.

Features

• Authentication with TestRail API
• Access to TestRail entities:
  • Projects
  • Cases
  • Runs
  • Results
  • Datasets
• Full support for the Model Context Protocol
• Compatible with any MCP client (Claude Desktop, Cursor, Winsurf, etc.)

Installation

Installing via Smithery

To install testrail-mcp for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @sker65/testrail-mcp --client claude

Manual Installation

1. Clone this repository:

   git clone https://github.com/yourusername/testrail-mcp.git
   cd testrail-mcp
   

2. Create and activate a virtual environment:

   python -m venv .venv
   source .venv/bin/activate  # On Windows: .venvScriptsactivate
   

3. Install dependencies:

   pip install -e .
   

Configuration

The TestRail MCP server requires specific environment variables to authenticate with your TestRail instance. These must be set before running the server.

1. Create a .env file in the root directory of the project:

   TESTRAIL_URL=https://your-instance.testrail.io
   TESTRAIL_USERNAME=your-email@example.com
   TESTRAIL_API_KEY=your-api-key
   

   Important Notes:

   • TESTRAIL_URL should be the full URL to your TestRail instance (e.g., https://example.testrail.io)
   • TESTRAIL_USERNAME is your TestRail email address used for login
   • TESTRAIL_API_KEY is your TestRail API key (not your password)
     • To generate an API key, log in to TestRail, go to “My Settings” > “API Keys” and create a new key

2. Verify that the configuration is loaded correctly:

   python -c "from testrail_mcp.config import TESTRAIL_URL, TESTRAIL_USERNAME, TESTRAIL_API_KEY; print(f'URL: {TESTRAIL_URL}, Username: {TESTRAIL_USERNAME}, API Key: {TESTRAIL_API_KEY[:5]}...')"
   

   This should print your TestRail URL, username, and the first few characters of your API key.

If you’re using this server with a client like Claude Desktop or Cursor, make sure the environment variables are accessible to the process running the server. You may need to set these variables in your system environment or ensure they’re loaded from the .env file.

Usage

Running the Server

The server can be run directly as a Python module:

python -m testrail_mcp

This will start the MCP server in stdio mode, which can be used with MCP clients that support stdio communication.

Using with MCP Clients

Claude Desktop

1. Open Claude Desktop
2. Go to Settings > Servers
3. Click “Install Server”
4. Navigate to your project directory
5. Select the Python module: testrail_mcp
6. Claude Desktop will now be able to use your TestRail MCP server

Cursor

1. Open Cursor
2. Go to Settings > AI > Custom Tools
3. Click “Add Tool”
4. Configure the tool:
   • Name: TestRail MCP
   • Command: python -m testrail_mcp
   • Communication: Stdio
5. Save the configuration

Winsurf

1. Open Winsurf
2. Go to Settings > Tools
3. Click “Add Tool”
4. Configure the tool:
   • Name: TestRail MCP
   • Command: python -m testrail_mcp
   • Protocol: MCP
5. Save the configuration

Testing with MCP Inspector

For testing and debugging, you can use the MCP Inspector:

npx @modelcontextprotocol/inspector stdio -- python -m testrail_mcp

This will open a web interface where you can explore and test all the available tools and resources.

Development

This server is built using:

• FastMCP - A Python framework for building MCP servers
• Requests - For HTTP communication with TestRail API
• python-dotenv - For environment variable management

License

MIT