This MCP server exposes a set of TestRail-related tools that let AI assistants query and manipulate TestRail data via the MCP protocol. The available tools include get_test_run (retrieve details about a specific test run), get_test_results (fetch results for a run), get_test_case (retrieve a single test case), list_projects (list all TestRail projects), get_users (list TestRail users), and get_tests_for_run (list all tests within a run). After starting the server, you can invoke these tools through the MCP interface (for example, via Claude Desktop, VS Code integrations, or any client that speaks MCP) using the provided command mappings. The server is designed to be used with a CLI wrapper as shown in the README, or embedded into client configurations for editors like Claude Desktop and VS Code so your AI agent can issue requests to TestRail without exposing raw API calls.

Usage usually involves starting the server, ensuring environment variables are configured with your TestRail instance credentials, and then issuing commands such as: getting a test run, listing projects, or retrieving test results for a run. The CLI example demonstrates direct node-based invocations (node cli.js <command> <args>), while the editor integrations show how to configure the server as a runnable process so your editor tooling can route queries through the MCP server seamlessly.

Prerequisites:

• Node.js and npm installed on your machine
• Access to a TestRail instance with API credentials

Installation steps:

1. Install dependencies npm install

2. Create a local environment configuration from the sample cp .env.example .env

3. Configure TestRail credentials in your environment file (.env)

   .env

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

4. Build the server npm run build

5. Run in development or production mode as needed npm run start (or run with your preferred MCP launcher to use the mcp_config above)

Notes:

• If you modify environment variables, restart the server so changes take effect.
• The README suggests CLI usage via node cli.js; ensure you have built the project before invoking CLI commands.

Tips and common issues:

• Ensure TESTRAIL_URL, TESTRAIL_USERNAME, and TESTRAIL_API_KEY are correct; invalid credentials will return authentication errors from TestRail.
• If using editor integrations (Claude Desktop or VS Code), ensure the path to the built server (build/index.js) is correct for your environment. Absolute paths are often required in those configurations.
• For local development, you can run npm run watch to rebuild on changes, which helps iterate on AI tool interactions quickly.
• The server uses TestRail API v2; consult the official API docs for any advanced query parameters or rate limits.
• If you see CORS or network errors, verify network access from your runtime environment to your TestRail instance and confirm any required proxies are configured.