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Mobile QA Helper

Mobile QA Helper

Local
github.com/swapnilGirishPawarDeveloper Tools0Updated 31w ago

About Mobile QA Helper

Mobile QA Helper is an MCP server offering QA prompt templates and tools for mobile automation teams, usable in Cursor. It covers test generation, code review, failure analysis, and standardized bug reporting.

Key features

  1. 01Convert manual test cases into automation scripts
  2. 02Review and refactor automation code
  3. 03Generate POM locators from XML
  4. 04Analyze test failure logs
  5. 05Format bug reports to a template

Use cases

  1. 01Turn mobile manual tests into automated tests
  2. 02Investigate causes of Appium test failures
  3. 03Standardize bug descriptions and reproduction steps

MCP support

It exposes tools with the same names as its prompt templates to MCP clients, and makes the prompts available in Cursor as slash commands.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"Custom-MCP-Server-Mobile-QA": {
"command": "npx",
"args": [
"-y",
"github:swapnilGirishPawar/Custom-MCP-Server-Mobile-QA"
]
}
}
}
Run commandnpx -y github:swapnilGirishPawar/Custom-MCP-Server-Mobile-QA

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmgithub:swapnilGirishPawar/Custom-MCP-Server-Mobile-QA

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

QA Prompts MCP Server

An MCP (Model Context Protocol) server that provides QA prompt templates for mobile automation teams. It exposes structured prompts and tools for automation code generation, failure analysis, and bug standardization — all usable directly inside Cursor.

Quick Start (No Clone Required)

Add this to your Cursor MCP config file (~/.cursor/mcp.json):

{
  "mcpServers": {
    "qa-prompts": {
      "command": "npx",
      "args": ["-y", "github:swapnilGirishPawar/Custom-MCP-Server-Mobile-QA"]
    }
  }
}

Restart Cursor. The prompts will be available immediately via the / slash command in chat.

This server also exposes the same capabilities as MCP tools, which can be invoked by MCP clients (and may be used automatically by Cursor when tool-calling is enabled).

Available Prompts (Slash Commands)

1. Manual → Automation Conversion
PromptWhat It Does
/convert-manual-to-automationConverts manual test cases into Appium + Java + TestNG automation scripts following POM architecture
/refactor-automation-codePerforms a deep PR review of existing automation code and generates a structured review report
/xml-to-pom-locatorsConverts Appium Inspector Page Source XML into POM locator declarations (ID > Accessibility > XPath priority)
2. Debugging & Failure Analysis
PromptWhat It Does
/analyze-test-failureAnalyzes Appium test failure logs to determine root cause, severity, flakiness risk, and fix recommendations
3. Bug Standardization
PromptWhat It Does
/standardize-bug-reportConverts a bug title/description into a standardized bug report following the organization template

Available Tools (MCP Tools)

Each prompt is also registered as an MCP tool with the same name (without the leading /).

ToolWhat It Does
convert-manual-to-automationConverts manual test cases into Appium + Java + TestNG automation scripts following POM architecture
refactor-automation-codePerforms a deep PR review of existing automation code and generates a structured review report
xml-to-pom-locatorsConverts Appium Inspector Page Source XML into POM locator declarations (ID > Accessibility > XPath priority)
analyze-test-failureAnalyzes Appium test failure logs to determine root cause, severity, flakiness risk, and fix recommendations
standardize-bug-reportConverts a bug title/description into a standardized bug report following the organization template

Notes:

  • standardize-bug-report tool output: the tool output format does not include a <Title> line; it returns only [Issue], [Reproduction steps], [Screenshot], [Expected Result] (with those headings expected to be bold).

Usage

  1. Open Cursor chat (Cmd+L) or Composer (Cmd+I)
  2. Type / to see the list of available prompts
  3. Select a prompt
  4. Fill in the required inputs
  5. Submit — the AI processes the full prompt template and returns structured output
Example: Standardize a Bug Report
  1. Type /standardize-bug-report in chat
  2. Fill in:
    • bugDescription: login button not working on iOS after update
    • additionalContext (optional): Build 2.3.1, iPhone 15, Premium account
  3. The AI generates a complete standardized bug report (including a rewritten title), issue, reproduction steps, and expected result
Example: Convert Manual Test Case to Automation
  1. Type /convert-manual-to-automation in chat
  2. Fill in:
    • featureNavigation: Settings → Notifications → Push Notifications
    • manualTestCase: (paste your manual test case)
    • existingCode (optional): (paste any existing Page Objects or BaseTest for context)
  3. The AI generates a complete TestNG test class with POM, annotations, and framework conventions

Prompt / Tool Inputs Reference

NameRequired InputsOptional Inputs
convert-manual-to-automationfeatureNavigation, manualTestCaseexistingCode
refactor-automation-codecode—
xml-to-pom-locatorspageSourceXml—
analyze-test-failurefailureLogs—
standardize-bug-reportbugDescriptionadditionalContext

Local Development

# Clone the repo
git clone https://github.com/swapnilGirishPawar/Custom-MCP-Server-Mobile-QA.git
cd Custom-MCP-Server-Mobile-QA

# Install dependencies
npm install

# Build
npm run build

# Run locally
npm start

For development with auto-reload, use npm run dev (requires tsx).

To test locally before pushing, point your MCP config to the local build:

{
  "mcpServers": {
    "qa-prompts": {
      "command": "node",
      "args": ["/absolute/path/to/Custom-MCP-Server-Mobile-QA/dist/index.js"]
    }
  }
}

Tech Stack

  • TypeScript with strict mode
  • @modelcontextprotocol/sdk v1.27+
  • Zod v4 for input validation
  • stdio transport for Cursor integration

Comments

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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.