# Pytest MCP Server

> Use this tool when you need to automate testing of desktop applications using pytest tests. It solves problems of manual test execution and analysis by providing interactive commands for test execution, filtering, and result analysis. The Pytest MCP Server takes in test commands and outputs detailed test results, making it ideal for use in comprehensive test automation workflows.

Canonical page: https://skillsregistry.net/skills/enginsacan-mcppytestimplementation  
JSON: https://api.skillsregistry.net/v1/skills/enginsacan-mcppytestimplementation

## Description

Enables AI assistants to run and analyze pytest tests for desktop applications through interactive commands. Supports test execution, filtering, result analysis, and debugging for comprehensive test automation workflows.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uek30ag3w8)
- **Repository:** <https://github.com/enginSacan/MCPPyTestImplementation>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "enginsacan-mcppytestimplementation"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/enginsacan-mcppytestimplementation` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/enginsacan-mcppytestimplementation/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt