Tox Testing
Executes tox commands to run Python tests with pytest. Requires the TOX_APP_DIR environment variable to be set.
Tox Testing MCP Server
An MCP server that executes tox commands to run python tests within a project using pytest. This server provides a convenient way to run and manage python tests through the Model Context Protocol (MCP).
Features
Tools
run_tox_tests- Execute tox tests with various modes and options- Supports different execution modes:
all: Run all tests or tests from a specific groupfile: Run tests from a specific filecase: Run a specific test casedirectory: Run all tests in a specified directory
- Test groups supported:
clients: Client-related testsapi: API endpoint testsauth: Authentication testsuploads: Upload functionality testsroutes: Route handler tests
- Supports different execution modes:
Development
Install dependencies:
npm install
Build the server:
npm run build
For development with auto-rebuild:
npm run watch
Installation
To use with VSCode, add the server config to your MCP settings file at:
~/.config/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
{
"mcpServers": {
"tox-testing": {
"command": "node",
"args": ["/path/to/tox-testing/build/index.js"],
"env": {
"TOX_APP_DIR": "/path/to/your/python/project",
"TOX_TIMEOUT": "600"
}
}
}
}
Configuration Options
env.TOX_TIMEOUT: (Optional) Maximum time in seconds to wait for test execution to complete. If a test run takes longer than this timeout, it will be terminated. Default is 600 seconds (10 minutes)env.TOX_APP_DIR: (Required) Directory containing the tox.ini file. This is where tox commands will be executed from. The path should point to the root of your Python project where tox.ini is located.
The timeout is particularly important for:
- Preventing hung test processes
- Managing long-running integration tests
- Ensuring CI/CD pipelines don't get stuck
Usage
The server provides a single tool run_tox_tests that can be used in different modes:
Tool Arguments
// Run all tests
{
"mode": "all"
}
// Run tests from a specific group
{
"mode": "all",
"group": "api"
}
// Run tests from a specific file
{
"mode": "file",
"testFile": "tests/test_api.py"
}
// Run a specific test case
{
"mode": "case",
"testFile": "tests/test_api.py",
"testCase": "test_endpoint_response"
}
// Run tests from a specific directory
{
"mode": "directory",
"directory": "tests/api/"
}
Using with Cline
When using this MCP with Cline, you can configure Cline's Custom Instructions to handle test execution efficiently. Here's a recommended workflow:
If asked to run tests on the project, use the tox-testing MCP. Follow these steps:
1. Run all tests across the project unless you are given instructions to run a specific test file or test case.
2. Review and rerun each failed test case individually as you troubleshoot and fix the issue from its output.
3. Repeat step 2 until the testcase passes.
4. Once all failed test cases from step 1 are passing rerun all tests again and repeat all steps until all tests pass.
This workflow ensures:
- Comprehensive test coverage by running all tests first
- Focused debugging by isolating failed test cases
- Verification of fixes by retesting individual cases
- Final validation by running all tests again
Example interactions with Cline:
You: Run the tests for this project
Cline: I'll use the tox-testing MCP to run all tests:
{
"mode": "all"
}
You: Fix the failing test in test_api.py
Cline: I'll first run the specific test file:
{
"mode": "file",
"testFile": "tests/test_api.py"
}
Then address each failing test case individually:
{
"mode": "case",
"testFile": "tests/test_api.py",
"testCase": "test_endpoint_response"
}
Contributing
Please see CONTRIBUTING.md for details on our code of conduct and the process for submitting pull requests.
関連サーバー
Alpha Vantage MCP Server
スポンサーAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
Featuriq
Connect your AI assistant to Featuriq — the product feedback and roadmap tool for SaaS teams. Browse top feature requests, search feedback with natural language, update statuses, notify users when features ship, and manage your roadmap — all from your AI client. Authenticates via OAuth. No manual API key setup needed.
Code Context Provider MCP
Provides code context and analysis for AI assistants using WebAssembly Tree-sitter parsers.
Cisco NSO MCP Server
An MCP server for Cisco NSO that exposes its data and operations as MCP primitives.
My First MCP
A Model Context Protocol server implemented in Node.js with Docker support.
Postman Tool Generation
Generates AI agent tools from Postman collections and requests using the Postman API.
MCP Installer
Set up MCP servers in Claude Desktop
eBPF MCP
A secure MCP server for eBPF, designed for AI integration, kernel introspection, and automation.
Document Schema Specifications
A collection of document schemas for standardizing project documentation across various software projects.
iOS MCP Server
An iOS mobile automation server using Appium and WebDriverAgent.
Ilograph MCP Server
Create and validate Ilograph diagrams with access to documentation and guidance.