#pytest

Generates high-quality unit tests for Python code with a coverage before/after report on every run. Derives concrete edge cases (None inputs, numeric boundaries, empty collections, exception paths) and returns ready-to-run pytest files with external I/O automatically mocked. Free tier: 100 executions. Pro: $19/month.

Ask your AI agent why your tests are failing. Instant analysis on failures and regressions.

A Model Context Protocol (MCP) server for debugging pytest failures using systematic debugging principles. 🛠 Tools Available register_pytest_failure - Register a new test failure list_failures - List all registered failures get_failure_info - Get detailed information about a specific failure debug_with_principle - Apply debugging principles systematically analyze_failures - Analyze patterns in test failures generate_debug_prompt - Generate LLM prompts for debugging pytest_docs_guide - Get pytest documentation guidance example_tool - Example tool for testing

MCP server providing code quality checks (pylint and pytest) with smart LLM-friendly prompts for analysis and fixes. Enables Claude and other AI assistants to analyze your code and suggest improvements.

MCP server providing code quality checks (pylint and pytest) with smart LLM-friendly prompts for analysis and fixes. Enables Claude and other AI assistants to analyze your code and suggest improvements.