MCP Gherkin Server

by eax

220 downloads
Not rated
GitHub

About

The MCP Gherkin Server is an MCP server that generates Gherkin feature files programmatically. It provides an interface for creating and saving Gherkin syntax based on user-defined data, making it easy to integrate with other applications via the Model Context Protocol.

Details

Author
eax
Downloads
220
Categories
Other

- Generates Gherkin feature files programmatically
- Uses MCP for handling requests and responses
- Saves generated files to a specified location
- Easy integration with other applications
- Built with Node.js and npm

Install the project by cloning the repository and running npm install. Start the server with npm start. Once running, send requests to generate Gherkin files; the server can return the generated content or save it to a specified location (see the API documentation for request formats).

MCP Gherkin Server

This project is an MCP server that generates Gherkin files. It provides an interface for creating and saving Gherkin syntax based on user-defined data.

Table of Contents

- Overview
- Installation
- Usage
- Contributing
- License

Overview

The MCP Gherkin Server allows users to generate Gherkin feature files programmatically. It utilizes the Model Context Protocol (MCP) to handle requests and responses, making it easy to integrate with other applications.

Installation

To install the project, clone the repository and run the following command:

npm install

Usage

To start the server, run:

npm start

Once the server is running, you can send requests to generate Gherkin files. The server will respond with the generated content or save it to a specified location.

Example Request

You can send a request to generate a Gherkin file using the defined routes. Refer to the API documentation for more details on the request format.

Contributing

Contributions are welcome! Please open an issue or submit a pull request on GitHub.

License

This project is licensed under the MIT License. See the LICENSE file for details.

No reviews yet — be the first

Sign in to leave a review

Use Google, GitHub, or an email account so ratings stay tied to real people.

Email sign in

No reviews posted yet.