About MCP Gherkin Server
MCP Gherkin Server is an MCP server for developers who need to generate Gherkin feature files programmatically from user-defined data. It can return the generated content or save it to a specified location.
Key features
- 01Generate Gherkin feature files programmatically
- 02Build content from user-defined data
- 03Return or save generated files
Use cases
- 01Create Gherkin scenarios from input data
- 02Save generated feature files to a chosen location
MCP support
It accepts generation requests over MCP and returns Gherkin content to clients or saves it to a specified location.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEMCP 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
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.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.