🤖 AI Testcase Generator MCP

An Model Context Protocol(MCP) server that generates comprehensive API test plans (positive, negative, and boundary/edge cases) directly from endpoint metadata—powered by LLMs.

This is a TypeScript-based Model Context Protocol(MCP) server for QA engineers. It demonstrates core Model Context Protocol concepts by providing:

• AI-powered tool for generating exhaustive test case plans from API endpoints and payloads
• Prompt-driven LLM integration for quality and coverage
• Extensible structure for future automation tooling

✨ Features

• 🔌 MCP-compliant server (stdio transport).
• 📝 Tool: generate_tests_excel
  • Input: endpoint, HTTP method, payload, extra context.
  • Input options:
    • Direct endpoint details: endpoint, HTTP method, payload
    • Use extraContext to provide any additional testing notes or constraints
  • OutputPut: 📊 Excel test plan with columns: Sl no, Test Name, Pre-Condition, Steps, Expected Result.
• 🧠 Prompt-driven test generation with configurable LLM (Groq, OpenAI, Anthropic).
• 📜 Detailed logging with Winston.

🏗️ Architecture

flowchart TD
    A[Claude / MCP Client] -->|Run Tool| B[MCP Server]
    B -->|Prompt| C[LLM API]
    C -->|Test Cases JSON| B
    B -->|Excel Export| D[(Test Plan .xlsx)]
    B -->|Logs| E[Server Log File]

📂 Project Structure

🎥 Demo

Here’s the MCP generating test cases and exporting to Excel:

🔍 Excel Preview

Below is a quick preview of the generated test cases:

Development

Install dependencies:

npm install

Build the server:

npm run build

For development with auto-rebuild:

npm run watch

⚙️ Installation