testrail-mcp
Enable interaction with TestRail's core entities including projects, cases, runs, results, and datasets through a standardized protocol. Authenticate directly with the TestRail API for seamless workflow integration and full MCP compatibility.
Author

sker65
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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, Windsurf, etc.)
See it in action together with Octomind MCP
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
-
Clone this repository:
bash git clone https://github.com/yourusername/testrail-mcp.git cd testrail-mcp -
Create and activate a virtual environment:
bash python -m venv .venv source .venv/bin/activate # On Windows: .venv\Scripts\activate -
Install dependencies:
bash 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.
- Create a
.envfile 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
- Verify that the configuration is loaded correctly:
bash uvx testrail-mcp --config
This will display your TestRail configuration information, including your URL, username, and the first few characters of your API key for verification.
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 using the installed script:
uvx 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
In Claude Desktop, add a new server with the following configuration:
{
"mcpServers": {
"testrail": {
"command": "uvx",
"args": [
"testrail-mcp"
],
"env": {
"TESTRAIL_URL": "https://your-instance.testrail.io",
"TESTRAIL_USERNAME": "your-email@example.com",
"TESTRAIL_API_KEY": "your-api-key"
}
}
}
}
Cursor
In Cursor, add a new custom tool with the following configuration:
{
"name": "TestRail MCP",
"command": "uvx",
"args": [
"testrail-mcp"
],
"env": {
"TESTRAIL_URL": "https://your-instance.testrail.io",
"TESTRAIL_USERNAME": "your-email@example.com",
"TESTRAIL_API_KEY": "your-api-key"
}
}
Windsurf
In Windsurf, add a new tool with the following configuration:
{
"name": "TestRail MCP",
"command": "uvx",
"args": [
"testrail-mcp"
],
"env": {
"TESTRAIL_URL": "https://your-instance.testrail.io",
"TESTRAIL_USERNAME": "your-email@example.com",
"TESTRAIL_API_KEY": "your-api-key"
}
}
Testing with MCP Inspector
For testing and debugging, you can use the MCP Inspector:
npx @modelcontextprotocol/inspector \
-e TESTRAIL_URL=<your-url> \
-e TESTRAIL_USERNAME=<your-username> \
-e TESTRAIL_API_KEY=<your-api-key> \
uvx 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

