%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
Cucumberstudio
The CucumberStudio MCP Server project provides context services for AI applications with data from the CucumberStudio platform
rating : 2 points
downloads : 7.2K
What is the CucumberStudio MCP Server?
The CucumberStudio MCP Server is an API service based on the Model Context Protocol (MCP), aiming to connect the CucumberStudio platform with AI assistants. It allows developers to obtain context information in CucumberStudio projects, such as feature files and scenarios, through AI tools, and supports generating or modifying test content.How to use the CucumberStudio MCP Server?
First, you need to install the Node.js environment and configure the API key, then start the server to begin using it. You can obtain data or adjust resources through the provided API interfaces.Applicable Scenarios
Suitable for enterprises or teams that need to efficiently manage the automated testing process, especially developers who hope to use artificial intelligence to improve testing efficiency.Main Features
Data Retrieval
Extract project features, scenarios, and other relevant information from the CucumberStudio API.
AI Context Support
Provide context information about the CucumberStudio project structure for AI assistants.
Resource Editing
Allow users to modify existing test resources through the API, such as updating feature files or adding new scenarios.
Advantages
Seamlessly integrate CucumberStudio with AI assistants.
Simplify the management and maintenance of test resources.
Improve the level of test automation and save development time.
Limitations
Dependent on the availability of the CucumberStudio API.
Require a certain technical foundation to set up and run the server.
How to Use
Clone the Repository
Clone the code of this project to the local environment via Git.
%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%230080ff;%20}%20%3c/style%3e%3c/defs%3e%3cpath%20class='st0'%20d='M16.2,11.1c.4.5.4,1.2,0,1.8l-4.7,7.1h-3.8l5.3-8L7.6,4h3.8l4.7,7.1Z'/%3e%3c/svg%3e)
Install Dependencies
Install the required Node.js dependencies.
Configure Environment Variables
Create a.env file and fill in the API token and port number.
Start the Server
Execute the command to start the MCP server.
Usage Examples
Generate a New Test Scenario
Request the AI assistant to generate a new test scenario for a specific functional module.
Update an Existing Feature File
Update the content of an existing feature file through an API call.
Frequently Asked Questions
How to ensure the security of the API token?
Does it support integration with multiple programming languages?
What should I do if I encounter an API connection failure?
Related Resources
Official Documentation
Detailed API documentation and usage guides.
GitHub Code Repository
An open-source code library for developers to contribute easily.
Demo Video
Quickly understand the working principle of the MCP server.
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
17.5K
4.5 points
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
17.4K
4.3 points
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
54.4K
4.3 points
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
28.4K
5 points
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
51.0K
4.5 points
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
23.0K
5 points
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
35.4K
4.8 points
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
75.3K
4.7 points