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licenseNot graded
qualityD
maintenanceGit-native MCP server for managing AI context across sessions. Enables LLMs to access project and feature context via markdown files, preserving decisions and constraints.
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MCP Gherkin Server
by eax
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Gherkin Servercreate a login feature with scenarios for valid and invalid credentials"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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
Related MCP server: docs-is-code
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 installUsage
To start the server, run:
npm startOnce 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.
Tool Schema Changelog
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Maintenance
ActivityInactive
ResponsivenessNo issues
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