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.
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.
The Model Context Protocol server enables AI assistants to:
.env file in the root directory with the following content:To start the server:
or
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 serverThis MCP server follows the Model Context Protocol specification and integrates with the CucumberStudio API available at https://studio-api.cucumberstudio.com/.
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.
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