Integrations
Supports configuration through environment variables, allowing secure storage of API tokens and server settings.
Enables fetching and manipulating data from CucumberStudio (a Cucumber.io product), providing context about projects, features, and scenarios, and allowing AI to generate and modify test scenarios and other CucumberStudio resources.
Provides the runtime environment for the MCP server, requiring Node.js v18+ for operation.
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:
- Fetch data from CucumberStudio API
- Provide context about CucumberStudio projects, features, scenarios, and other resources
- 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
- Clone this repository
- Install dependencies:orCopyCopy
- Create a
.envfile in the root directory with the following content:Copy
Running the Server
To start the server:
or
API Endpoints
The MCP server exposes the following endpoints:
GET /context: Fetch context from CucumberStudioPOST /apply: Apply changes to CucumberStudio resourcesGET /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
This server cannot be installed
Implements a Model Context Protocol server that provides context from CucumberStudio to AI assistants, enabling them to fetch data and generate or modify test scenarios, features, and other CucumberStudio resources.