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.
Supports configuration through environment variables, allowing secure storage of API tokens and server settings.
Provides the runtime environment for the MCP server, requiring Node.js v18+ for operation.
Offers package management for installing dependencies and running the server.
Provides an alternative package management option for installing dependencies and running the 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:
- 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:or
- Create a
.env
file in the root directory with the following content:
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
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
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.
Related MCP Servers
- -securityAlicense-qualityA Model Context Protocol server that enables AI assistants to interact with Kubernetes clusters through natural language, supporting core Kubernetes operations, monitoring, security, and diagnostics.Last updated -660PythonMIT License
- -securityFlicense-qualityA demonstration implementation of the Model Context Protocol server that facilitates communication between AI models and external tools while maintaining context awareness.Last updated -Python
- -securityFlicense-qualityA comprehensive Model Context Protocol server implementation that enables AI assistants to interact with file systems, databases, GitHub repositories, web resources, and system tools while maintaining security and control.Last updated -61TypeScript
- -securityFlicense-qualityA Model Context Protocol server that provides AI models with structured access to external data and services, acting as a bridge between AI assistants and applications, databases, and APIs in a standardized, secure way.Last updated -1Python