Pytest FAQs

Question 1

What is the Pytest Test Server?

Accepted Answer

The Pytest Test Server is an MCP (Model Context Protocol) compliant server designed to automate the execution of pytest test suites. It parses test results, generates comprehensive reports, and stores all test outcomes directly into a QA platform database for persistent tracking and analysis.

Question 2

How does it integrate with existing QA platforms and automation tools?

Accepted Answer

It integrates using standard Model Context Protocol (MCP) interfaces, allowing seamless communication with various QA platforms. Additionally, it provides specific tool call interfaces for external automation systems like Goose, enabling robust and flexible testing workflows.

Question 3

What kind of test data does the server manage and store?

Accepted Answer

The server manages and stores detailed test run data, including overall status, total tests, number of passed, failed, and skipped tests, and total duration. It also stores granular results for individual test cases, capturing their status, duration, error messages, and stack traces.

Question 4

Can I customize how pytest tests are executed?

Accepted Answer

Yes, the `run_pytest_tests` tool provided by the server allows you to pass custom pytest command-line options. This flexibility enables you to tailor test execution according to your specific project needs, such as running specific markers, files, or applying various pytest plugins.

Pytest

Pytest

Key Features

Use Cases

Key Features

Use Cases