CucumberStudio MCP Server

This project implements a Model Context Protocol (MCP) server for CucumberStudio API. It provides context from the CucumberStudio platform to AI-powered applications, enabling various AI operations to be performed with CucumberStudio data.

Overview

The Model Context Protocol server enables AI assistants to:

1. Fetch data from CucumberStudio API

2. Provide context about CucumberStudio projects, features, scenarios, and other resources

3. Enable AI to generate and modify test scenarios, features, and other CucumberStudio resources

Setup

Prerequisites

• Node.js (v18+)
• npm or yarn
• CucumberStudio API token

Installation

1. Clone this repository

2. Install dependencies:

npm install

or

yarn install

3. Create a `.env` file in the root directory with the following content:

CUCUMBER_STUDIO_API_TOKEN=your_api_token_here
   PORT=3000

Running the Server

To start the server:

npm start

or

yarn start

API Endpoints

The MCP server exposes the following endpoints:

• `GET /context`: Fetch context from CucumberStudio
• `POST /apply`: Apply changes to CucumberStudio resources
• `GET /schema`: Get the schema for the MCP server

Implementation Details

This MCP server follows the Model Context Protocol specification and integrates with the CucumberStudio API available at https://studio-api.cucumberstudio.com/.

License

MIT