CucumberStudio MCP Server

# 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