原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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Cucumberstudio

作者:HeroSizy版本 1.2.2i★ –i在你的电脑上运行
注册名称io.github.HeroSizy/cucumberstudio

安装

概览

作者提供的说明(英文原文)

MCP server for Cucumber Studio - test scenarios, action words, and execution data

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 其他

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "cucumberstudio": {
      "command": "npx",
      "args": [
        "-y",
        "cucumberstudio-mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add cucumberstudio -- npx -y cucumberstudio-mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "cucumberstudio": {
      "command": "npx",
      "args": [
        "-y",
        "cucumberstudio-mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "cucumberstudio": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "cucumberstudio-mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 HeroSizy 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32744 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32744 个服务器的 5% 更新
  • 基础检查结果等于或优于此分类中其他 32744 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Cucumberstudio 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.2.2)于7个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, Date Math

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211前天更新
安装

Date Math

作者:JowenDelaPena

Exact date/time math for agents: business days, holidays, time zones, cron, RRULE, SLA. x402 paid.

在云端运行今天更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Cucumber Studio MCP Server

*Vibe Coded with Claude Code and Pu-Er 🍵*

A Model Context Protocol (MCP) server that provides LLM access to Cucumber Studio's testing platform. This server enables AI assistants to retrieve test scenarios, action words, test runs, and project information from Cucumber Studio.

Features

  • Dual Transport Support - STDIO and Streamable HTTP transports with session management
  • Project Management - List and retrieve project details
  • Scenario Access - Browse test scenarios and search by tags
  • Action Words - Access reusable test steps and definitions
  • Test Execution - View test runs, executions, and build information
  • Hot Reload Development - Instant server restart on file changes with tsx --watch
  • Configurable Logging - Structured logging with multiple output destinations
  • Comprehensive Error Handling - Robust error handling with detailed feedback
  • Type Safety - Full TypeScript implementation with Zod validation
  • Comprehensive Testing - 82%+ test coverage with Vitest and MSW

Installation

Desktop Extension (MCPB) Installation

The easiest way to use this MCP server is as a Desktop Extension:

  1. Download Extension: Get the latest .mcpb file from the releases page (automatically built from each release)
  2. Install Extension: Import the extension in your compatible AI desktop application
  3. Configure Credentials: Set up your Cucumber Studio API credentials through the extension settings:
  • Access Token: Your Cucumber Studio API access token
  • Client ID: Your Cucumber Studio client ID
  • User ID: Your Cucumber Studio user ID

The extension will automatically handle the MCP server setup and communication.

Quick Start (Command Line)

Run directly with npx (no installation required):

npx cucumberstudio-mcp

Set your environment variables first:

export CUCUMBERSTUDIO_ACCESS_TOKEN="your_token"

export CUCUMBERSTUDIO_CLIENT_ID="your_client_id" export CUCUMBERSTUDIO_UID="your_uid"

Development Installation
  1. Clone the repository:
git clone https://github.com/HeroSizy/cucumberstudio-mcp.git

cd cucumberstudio-mcp

  1. Install dependencies:
npm install
  1. Set up environment variables:
cp .env.example .env

Edit .env with your Cucumber Studio API credentials

  1. Build the server:
npm run build

Docker Support

Using Pre-built Image (Recommended)

Run the official Docker image from Docker Hub:

# With environment file

docker run --env-file .env herosizy/cucumberstudio-mcp

With environment variables

docker run -e CUCUMBERSTUDIO_ACCESS_TOKEN=your_token \ -e CUCUMBERSTUDIO_CLIENT_ID=your_client_id \ -e CUCUMBERSTUDIO_UID=your_uid \ herosizy/cucumberstudio-mcp

Using Docker Compose
  1. Set up environment variables:
cp .env.example .env

Edit .env with your Cucumber Studio API credentials

  1. Update docker-compose.yml to use the pre-built image:
version: '3.8'

services: cucumberstudio-mcp: image: herosizy/cucumberstudio-mcp env_file:

  • .env restart: unless-stopped ports:
  • "${MCP_PORT:-3000}:3000"
  1. Run with Docker Compose:
docker-compose up
Building Locally
  1. Build the image:
npm run docker:build
  1. Run the container:
npm run docker:run

The Docker setup includes health checks and automatic restarts for production use. The multi-stage build process creates optimized production images with only runtime dependencies (~150MB).

Configuration

The server requires Cucumber Studio API credentials. Get these from your Cucumber Studio account settings:

Required Environment Variables
  • CUCUMBERSTUDIO_ACCESS_TOKEN - Your API access token
  • CUCUMBERSTUDIO_CLIENT_ID - Your client ID
  • CUCUMBERSTUDIO_UID - Your user ID
Optional Configuration
  • CUCUMBERSTUDIO_BASE_URL - API base URL (default: https://studio.cucumberstudio.com/api)
  • MCP_TRANSPORT - Transport type: stdio (default), http, or streamable-http
  • MCP_PORT - HTTP transport port (default: 3000)
  • MCP_HOST - HTTP transport host (default: 0.0.0.0)
  • MCP_CORS_ORIGIN - CORS origin setting (default: true)
Logging Configuration
  • LOG_LEVEL - Log level: error, warn, info, debug, trace (default: info)
  • LOG_API_RESPONSES - Log Cucumber Studio API responses (default: false)
  • LOG_REQUEST_BODIES - Log API request bodies for debugging (default: false)
  • LOG_RESPONSE_BODIES - Log API response bodies for debugging (default: false)
  • LOG_TRANSPORT - Logging output: console, stderr, file, none (default: stderr)
  • LOG_FILE - Log file path (required if LOG_TRANSPORT=file)

Usage

Transport Options

The server supports both STDIO and HTTP transports:

STDIO Transport (Default)
# Development

npm run dev

Production

npm start

HTTP Transport
# Development

npm run dev:http

Production

npm run start:http

Using with MCP Clients
Desktop Extension (Recommended)

Import the .mcpb extension file directly into your compatible AI desktop application. The extension handles all configuration through its settings interface.

Manual MCP Configuration

For manual MCP client configuration:

Option 1: NPX (Recommended)
{

"mcpServers": { "cucumberstudio": { "command": "npx", "args": ["cucumberstudio-mcp"], "env": { "CUCUMBERSTUDIO_ACCESS_TOKEN": "your_token", "CUCUMBERSTUDIO_CLIENT_ID": "your_client_id", "CUCUMBERSTUDIO_UID": "your_uid" } } } }

Option 2: Local Installation
{

"mcpServers": { "cucumberstudio": { "command": "node", "args": ["/path/to/cucumberstudio-mcp/build/index.js"], "env": { "CUCUMBERSTUDIO_ACCESS_TOKEN": "your_token", "CUCUMBERSTUDIO_CLIENT_ID": "your_client_id", "CUCUMBERSTUDIO_UID": "your_uid" } } } }

Option 3: Docker Hub Image
{

"mcpServers": { "cucumberstudio": { "command": "docker", "args": ["run", "--rm", "-i", "--env-file", "/path/to/.env", "herosizy/cucumberstudio-mcp"] } } }

Option 4: Local Docker Build
{

"mcpServers": { "cucumberstudio": { "command": "docker", "args": ["run", "--rm", "-i", "--env-file", "/path/to/.env", "cucumberstudio-mcp"] } } }

Available Tools

Project Tools
  • cucumberstudio_list_projects - List all accessible projects
  • cucumberstudio_get_project - Get detailed project information
Scenario Tools
  • cucumberstudio_list_scenarios - List scenarios in a project
  • cucumberstudio_get_scenario - Get detailed scenario information
  • cucumberstudio_find_scenarios_by_tags - Find scenarios by tags
Action Word Tools
  • cucumberstudio_list_action_words - List reusable action words
  • cucumberstudio_get_action_word - Get detailed action word information
  • cucumberstudio_find_action_words_by_tags - Find action words by tags
Test Execution Tools
  • cucumberstudio_list_test_runs - List test runs
  • cucumberstudio_get_test_run - Get detailed test run information
  • cucumberstudio_get_test_executions - Get individual test results
  • cucumberstudio_list_builds - List builds
  • cucumberstudio_get_build - Get build details
  • cucumberstudio_list_execution_environments - List execution environments

Development

Hot Reload Development

The server supports hot reload for rapid development:

# STDIO transport with hot reload

npm run dev

HTTP transport with hot reload

npm run dev:http

Files are automatically recompiled and the server restarts when changes are detected.

Testing and Quality
# Install dependencies

npm install

Run type checking

npm run typecheck

Run linting

npm run lint

Build for production

npm run build

Run tests

npm test

Run tests in watch mode

npm run test:watch

Run tests with coverage (82%+ coverage)

npm run test:coverage

Run tests with UI

npm run test:ui

Build Options
# Production build (default) - optimized for size, no .d.ts/.js.map files

npm run build

Development build - includes source maps and type declarations for debugging

npm run build:dev

MCPB Extension Development
# Validate manifest.json

npm run mcpb:validate

Build complete MCPB extension for local testing (optimized production build)

npm run mcpb:build

Check info about built extension

npm run mcpb:info

Clean up build artifacts

npm run mcpb:clean

Architecture

The server is built with a modular, production-ready architecture:

Core Technologies
  • TypeScript - Full type safety with strict configuration
  • Dual Transports - STDIO for local use, Streamable HTTP for remote access
  • Zod - Runtime validation for API inputs and configuration
  • Axios - HTTP client with comprehensive error handling and logging
  • MCP SDK - Official Model Context Protocol implementation
  • Express - HTTP server with CORS, security middleware, and session management
  • Vitest - Modern testing framework with 82%+ code coverage
  • MSW - Mock Service Worker for realistic API testing
Key Features
  • Session Management - HTTP transport with session tracking and cleanup
  • Comprehensive Logging - Structured logging with configurable outputs and levels
  • Error Handling - Robust error handling with detailed feedback and recovery
  • Security - Origin validation, CORS protection, and input sanitization
  • Health Monitoring - Health check endpoints and request/response tracking
  • Development Workflow - Hot reload, comprehensive testing, and Docker support

Testing

The project includes comprehensive test coverage:

# Run all tests

npm test

Run tests with coverage report

npm run test:coverage

Run tests in watch mode (for development)

npm run test:watch

Test coverage includes:

  • Unit tests for all modules
  • Integration tests for the MCP server
  • Transport layer testing
  • API client mocking and testing
  • Configuration validation
  • Error handling scenarios

Publishing and Releases

This project uses automated releases via GitHub Actions. When a version tag is pushed, it automatically:

  1. Runs full test suite - Ensures code quality and coverage
  2. Publishes to NPM - Makes the package available via npx cucumberstudio-mcp
  3. Builds and publishes Docker image - Pushes multi-platform images to Docker Hub
  4. Creates GitHub release - Generates release notes and links
Creating a Release
  1. Update the version in package.json:
npm version patch|minor|major
  1. Push the tag to trigger the release:
git push origin --tags
  1. T

只显示了开头部分;其余内容请在仓库中阅读

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