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AI Testing MCPclaude
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Initial AI Testing MCP Server implementation
- Core testing tools: analyze_codebase, generate_unit_tests, run_tests - Multi-language support: JavaScript/TypeScript, Python, Go - Framework auto-detection: Jest, Pytest, Mocha, etc. - AI-powered test generation with smart test cases - Complete Railway deployment configuration - Ready for production hosting 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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.gitignore

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node_modules/
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dist/
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*.log
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.env
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.env.local
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.env.production
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.DS_Store
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coverage/
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.nyc_output/
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*.tgz
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*.tar.gz

Dockerfile

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# Multi-stage build for smaller image
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FROM node:18-alpine AS builder
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WORKDIR /app
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# Copy package files
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COPY package*.json ./
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COPY tsconfig.json ./
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# Install dependencies
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RUN npm ci --only=production
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# Copy source code
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COPY src/ ./src/
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# Build the application
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RUN npm run build
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# Production stage
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FROM node:18-alpine AS production
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WORKDIR /app
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# Copy package files and install production dependencies
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COPY package*.json ./
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RUN npm ci --only=production && npm cache clean --force
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# Copy built application
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COPY --from=builder /app/dist ./dist
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# Create non-root user
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RUN addgroup -g 1001 -S nodejs
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RUN adduser -S mcp -u 1001
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# Change to non-root user
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USER mcp
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EXPOSE 3000
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CMD ["npm", "start"]

README.md

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# AI Testing MCP Server
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An AI-powered testing automation MCP server for Claude Code that provides TestSprite-like functionality.
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## Features
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### Core Testing Tools
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- **Code Analysis**: Analyze project structure and identify testable components
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- **Test Generation**: AI-powered unit, integration, and E2E test generation
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- **Test Execution**: Run tests with framework auto-detection
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- **Results Analysis**: Intelligent test result analysis with fix suggestions
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- **Framework Setup**: Initialize testing frameworks in projects
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### Supported Languages & Frameworks
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- **JavaScript/TypeScript**: Jest, Mocha, Vitest
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- **Python**: Pytest
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- **Go**: Built-in testing
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- **Frameworks**: React, Vue, Express, FastAPI, Flask
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## Installation
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1. Clone or create the project:
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```bash
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git clone <repo> ai-testing-mcp
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cd ai-testing-mcp
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```
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2. Install dependencies:
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```bash
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npm install
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```
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3. Build the project:
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```bash
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npm run build
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```
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## Configuration
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### For Claude Code
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Add to your Claude Code MCP configuration:
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```json
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{
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"mcpServers": {
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"ai-testing": {
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"command": "node",
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"args": ["dist/index.js"],
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"cwd": "/absolute/path/to/ai-testing-mcp"
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}
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}
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}
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```
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## Usage
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Once configured, you can use these tools in Claude Code:
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### 1. Analyze Codebase
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```
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Use the analyze_codebase tool on my project at /path/to/project
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```
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### 2. Generate Unit Tests
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```
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Generate unit tests for src/utils.js using Jest framework
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```
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### 3. Run Tests
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```
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Run all tests in my project with coverage
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```
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### 4. Analyze Test Results
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```
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Analyze these test failures and suggest fixes: [paste test output]
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```
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## Available Tools
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### `analyze_codebase`
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- **Purpose**: Scan project structure, detect languages/frameworks, find API endpoints
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- **Input**: `projectPath` - Path to project directory
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- **Output**: JSON with language, framework, API endpoints, testable components
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### `generate_unit_tests`
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- **Purpose**: Create unit tests for functions/components
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- **Input**:
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- `filePath` - File to test
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- `functionName` - Specific function (optional)
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- `testFramework` - Framework to use
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- **Output**: Generated test code
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### `generate_integration_tests`
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- **Purpose**: Create API endpoint tests
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- **Input**:
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- `projectPath` - Project directory
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- `apiSpec` - API documentation (optional)
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- **Output**: Integration test code
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### `run_tests`
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- **Purpose**: Execute tests with auto-detection
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- **Input**:
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- `projectPath` - Project directory
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- `testPattern` - Specific tests to run (optional)
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- `framework` - Force specific framework (optional)
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- **Output**: Test results with coverage
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### `analyze_test_results`
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- **Purpose**: Analyze test output and provide insights
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- **Input**: `testOutput` - Raw test results
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- **Output**: Analysis with suggestions
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### `suggest_fixes`
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- **Purpose**: Generate fix suggestions for failing tests
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- **Input**:
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- `failureOutput` - Test failure output
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- `sourceCode` - Source code (optional)
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- `testCode` - Test code (optional)
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- **Output**: Suggested fixes
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### `setup_testing_framework`
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- **Purpose**: Initialize testing in a project
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- **Input**:
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- `projectPath` - Project directory
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- `framework` - Testing framework
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- `language` - Programming language
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- **Output**: Setup instructions/files
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## Example Workflow
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1. **Analyze your project**:
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```
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Use analyze_codebase on ./my-app
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```
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2. **Generate tests for a component**:
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```
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Generate unit tests for src/components/Button.jsx using Jest
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```
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3. **Run the generated tests**:
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```
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Run tests in ./my-app matching *Button*
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```
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4. **Fix any failures**:
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```
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Analyze these test failures and suggest fixes: [paste output]
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```
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## Benefits Over Manual Testing
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- **Speed**: Generate comprehensive test suites in seconds
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- **Coverage**: Automatically identifies all testable components
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- **Intelligence**: AI-powered test case generation with edge cases
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- **Integration**: Works with existing test frameworks and CI/CD
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- **Analysis**: Intelligent failure analysis with fix suggestions
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## Development
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### Build
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```bash
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npm run build
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```
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### Development Mode
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```bash
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npm run dev
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```
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### Adding New Features
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The server is modular - add new tools by:
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1. Adding tool definition to `ListToolsRequestSchema` handler
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2. Adding tool implementation to `CallToolRequestSchema` handler
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3. Creating helper methods as needed
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## Comparison to TestSprite
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| Feature | TestSprite | AI Testing MCP |
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|---------|------------|----------------|
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| Test Generation |||
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| Multi-language |||
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| Cloud Execution || Local |
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| IDE Integration || ✅ (via Claude Code) |
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| Cost | Subscription | Free |
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| Customization | Limited | Full source access |
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## License
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MIT

claude-code-config.json

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{
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"mcpServers": {
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"ai-testing": {
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"command": "node",
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"args": ["dist/index.js"],
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"cwd": "/path/to/ai-testing-mcp"
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}
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}
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}

package.json

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{
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"name": "ai-testing-mcp",
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"version": "1.0.0",
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"description": "AI-powered testing MCP server for Claude Code",
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"main": "dist/index.js",
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"type": "module",
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"scripts": {
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"build": "tsc",
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"start": "node dist/index.js",
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"dev": "tsc && node dist/index.js",
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"postinstall": "npm run build"
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},
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"dependencies": {
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"@modelcontextprotocol/sdk": "^0.5.0",
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"node:fs": "latest",
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"node:path": "latest",
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"node:child_process": "latest"
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},
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"devDependencies": {
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"@types/node": "^20.0.0",
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"typescript": "^5.0.0"
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}
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}

railway.toml

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[build]
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builder = "nixpacks"
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[deploy]
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startCommand = "npm start"
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restartPolicyType = "on-failure"
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restartPolicyMaxRetries = 10
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[variables]
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NODE_ENV = "production"

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