Test Code Generator
Generates Vitest test code from JSON specifications using boundary value analysis and equivalence partitioning.
Test Code Generator MCP Server
An MCP server that generates Vitest test code based on boundary value analysis and equivalence partitioning from JSON specifications.
Features
- Boundary Value Analysis: Automatically generates boundary values and their adjacent values for continuous ranges
- Multiple Range Support: Handles discontinuous valid ranges (e.g., 0-10, 20-30, 40-50)
- Equivalence Partitioning: Includes all valid and invalid values from categorical data
- Pairwise Testing: Generates efficient test combinations using pairwise method
- Vitest Format: Generates clean test code using
test.eachpattern - Specification Guide: Provides prompts to help create JSON specifications
- Language-Optimized: All processing and output in English for optimal LLM performance
Quick Start
Using npx (No installation required)
# Run directly with npx
npx testing-mcp-vitest
# Configure Claude Desktop as shown below
See QUICKSTART.md for detailed setup instructions.
Installation
Using npx (Recommended)
npx testing-mcp-vitest
Local Installation
# Clone repository
git clone <repository-url>
cd test-code-generator-mcp
# Install dependencies
npm install
# Build
npm run build
Usage
Claude Desktop Configuration
Add to your claude_desktop_config.json:
{
"mcpServers": {
"test-generator": {
"command": "npx",
"args": ["testing-mcp-vitest"]
}
}
}
Config file locations:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
Available Tools
1. generate-test-code
Generates test code from JSON specification.
2. Prompts
create-test-spec: Explains how to create test specificationsboundary-value-example: Provides boundary value analysis examplesequivalence-class-example: Provides equivalence partitioning examples
Specification Format
Basic structure with single range:
{
"type": "model",
"name": "UserRegistration",
"columns": [
{
"name": "age",
"type": "number",
"valueType": "continues",
"values": {
"min": 18,
"max": 120
}
},
{
"name": "userType",
"type": "string",
"valueType": "category",
"values": {
"valid": ["admin", "user", "guest"],
"invalid": ["superuser", "root", ""]
}
}
]
}
Multiple ranges example:
{
"name": "workHours",
"type": "number",
"valueType": "continues",
"values": {
"ranges": [
{ "min": 9, "max": 12 }, // Morning shift
{ "min": 14, "max": 18 } // Afternoon shift
]
}
}
Generated Test Code Example
import { describe, test, expect } from 'vitest';
describe('Tests for UserRegistration', () => {
// Valid cases
test.each([
{ inputs: { age: 18, userType: "admin" }, description: 'Combination 1: Valid case' },
{ inputs: { age: 69, userType: "user" }, description: 'Combination 2: Valid case' },
{ inputs: { age: 120, userType: "guest" }, description: 'Combination 3: Valid case' },
// ... more test cases
])('Valid case: $description', ({ inputs }) => {
// TODO: Import the function or model to test
// import { UserRegistration } from './path/to/UserRegistration';
// TODO: Execute the test subject
// const result = UserRegistration(inputs);
// TODO: Check expected values
// expect(result).toBeDefined();
// expect(result.error).toBeUndefined();
});
// Invalid cases
test.each([
{ inputs: { age: 17, userType: "admin" }, description: 'Combination 4: Invalid case' },
{ inputs: { age: 121, userType: "user" }, description: 'Combination 5: Invalid case' },
{ inputs: { age: 50, userType: "superuser" }, description: 'Combination 6: Invalid case' },
{ inputs: { age: 50, userType: "root" }, description: 'Combination 7: Invalid case' },
{ inputs: { age: 50, userType: "" }, description: 'Combination 8: Invalid case' },
// ... more test cases
])('Invalid case: $description', ({ inputs }) => {
// TODO: Import the function or model to test
// import { UserRegistration } from './path/to/UserRegistration';
// TODO: Verify that an error occurs
// expect(() => UserRegistration(inputs)).toThrow();
// or
// const result = UserRegistration(inputs);
// expect(result.error).toBeDefined();
});
});
Key Features
Full Coverage
- All valid and invalid equivalence class values are included in test cases
- Boundary values include: min-1, min, min+1, middle, max-1, max, max+1
- For multiple ranges, includes gap values between ranges
Efficient Combinations
- 3 or fewer parameters: generates all combinations
- 4 or more parameters: uses pairwise method for efficiency
Multiple Range Support
Useful for:
- Working hours (9-12, 14-18)
- Valid scores (0-40 passing, 60-100 honors)
- Temperature ranges (different valid ranges for different conditions)
- Time slots (morning, afternoon, evening sessions)
Examples
See the examples/ directory for more specification examples:
user-registration.json- Basic model validationcalculate-discount.json- Business logic with multiple parametersmulti-range-validation.json- Complex scheduling with multiple rangesjapanese-postal-code.json- Regional validation patterns
Development
# Development mode
npm run dev
# Build
npm run build
# Production mode
npm start
# Debug mode
DEBUG=1 npm start
Publishing to npm
# Build and publish
npm publish
Contributing
- Fork the repository
- Create your feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add some amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
License
MIT - see LICENSE for details
Support
- GitHub Issues: [Report bugs or request features](/issues)
- Discussions: [Ask questions or share ideas](/discussions)
Related Servers
VibeCoding System
A conversation-driven development framework for rapid MVP and POC creation.
Code Analysis MCP Server
A modular MCP server for code analysis, supporting file operations, code search, and structure analysis.
D2 MCP Server
Generate, render, and manipulate D2 diagrams with incremental editing capabilities.
DevContext
Provides developers with continuous, project-centric context awareness. Requires a TursoDB database.
Jetty.io
Work on dataset metadata with MLCommons Croissant validation and creation.
Yellhorn MCP
An MCP server that integrates Gemini 2.5 Pro and OpenAI models for software development tasks, allowing the use of your entire codebase as context.
Unity MCP
An MCP server and plugin for connecting the Unity Editor and games to MCP clients like Claude Desktop.
pip Package README MCP Server
Fetch READMEs, metadata, and search for Python packages on PyPI.
DevBrain
Finds relevant code snippets, developer articles, and blog posts based on your queries.
Flux Schnell MCP Server
A text-to-image generation server using the Flux Schnell model.