GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
作者提供的说明(英文原文)
Wopee.io AI testing agents: dispatch analyses and test runs, fetch artifacts and results.
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。
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。
选择你使用的 AI 应用,然后复制设置。
WOPEE_API_KEY, WOPEE_PROJECT_UUID, WOPEE_API_URL标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
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": {
"wopee": {
"command": "npx",
"args": [
"-y",
"wopee-mcp"
],
"env": {
"WOPEE_API_KEY": "your-value",
"WOPEE_PROJECT_UUID": "your-value",
"WOPEE_API_URL": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add wopee --env WOPEE_API_KEY=your-value --env WOPEE_PROJECT_UUID=your-value --env WOPEE_API_URL=your-value -- npx -y wopee-mcp运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"wopee": {
"command": "npx",
"args": [
"-y",
"wopee-mcp"
],
"env": {
"WOPEE_API_KEY": "your-value",
"WOPEE_PROJECT_UUID": "your-value",
"WOPEE_API_URL": "your-value"
}
}
}
}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。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"wopee": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"wopee-mcp"
],
"env": {
"WOPEE_API_KEY": "your-value",
"WOPEE_PROJECT_UUID": "your-value",
"WOPEE_API_URL": "your-value"
}
}
}
}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。
WOPEE_PROJECT_UUID envWOPEE_API_URL env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。
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8日
注册名称已通过 GitHub 账户 Wopee-io 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
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。
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。
你需要填写:WOPEE_API_KEY
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)。
GitHub 仓库最后更新于–,最新版本(1.33.0)于5天前进入注册中心。
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。
同一分类中有:GitHub, Desktop Commander, Cloudflare MCP
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ 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
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
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。
AI-powered autonomous testing for your apps -- connect Claude, Cursor, or any MCP-compatible AI agent to Wopee.io and generate test cases, user stories, and run autonomous tests in seconds.
npx wopee-mcp
[Documentation](https://docs.wopee.io/guides/wopee-mcp/) | [Landing Page](https://wopee.io/mcp/) | [Dashboard](https://cmd.wopee.io)
Add this server to your MCP configuration.
{
"mcpServers": { "wopee": { "command": "npx wopee-mcp", "env": { "WOPEE_PROJECT_UUID": "your-project-uuid-here", "WOPEE_API_KEY": "your-api-key-here" } } } }
If you're behind a corporate proxy/VPN and experiencing connection timeouts, you can configure proxy settings using standard environment variables:
{
"mcpServers": { "wopee": { "command": "npx wopee-mcp", "env": { "WOPEE_PROJECT_UUID": "your-project-uuid-here", "WOPEE_API_KEY": "your-api-key-here", "HTTPS_PROXY": "http://your-proxy-server:8080" } } } }
If you're unsure about your proxy settings, check your VS Code settings (settings.json) for http.proxy value, or consult your IT department. Common corporate proxy formats:
http://proxy.company.com:8080http://10.x.x.x:8080http://username:password@proxy.company.com:8080 (if authentication is required)This is not required for MCP to work. If you see HTTPS or certificate-related errors, that indicates a TLS or certificate trust issue in your environment.
If the server fails with errors such as `UNABLE_TO_VERIFY_LEAF_SIGNATURE` or `certificate has expired`, it may be due to:
WOPEE_API_URL points to an internal or dev server)Example:
export NODE_EXTRA_CA_CERTS=/etc/ssl/certs/internal-ca.pem
In MCP config env:
"env": {
"WOPEE_PROJECT_UUID": "your-project-uuid-here", "WOPEE_API_KEY": "your-api-key-here", "NODE_EXTRA_CA_CERTS": "/path/to/ca.pem" }
For local debugging only, you may disable TLS verification in Node. This should never be used in production, as it disables HTTPS security and exposes traffic to interception.
export NODE_TLS_REJECT_UNAUTHORIZED=0
Or in MCP config env:
"env": {
"WOPEE_PROJECT_UUID": "your-project-uuid-here", "WOPEE_API_KEY": "your-api-key-here", "NODE_TLS_REJECT_UNAUTHORIZED": "0" }
Treat this as a debug-only escape hatch, not a normal setup step.
Note: Some users have reported setting PYTHONHTTPSVERIFY=0 as well. This MCP server does not use Python; that variable has no effect on it. It would only apply if you run a Python-based MCP host or other tooling that also performs HTTPS in the same environment—outside the scope of this server.
Most tools in this MCP server require a suiteUuid to operate. You have two options to get started:
Start by fetching your existing analysis suites:
Use the wopee_fetch_analysis_suites tool to retrieve all available suites for your project.
This will return a list of all analysis suites with their UUIDs, which you can then use with other tools.
If you don't have any suites yet, you have two options:
Automatic Analysis: Create and dispatch a full analysis/crawling suite:
Use the wopee_dispatch_analysis tool to create and dispatch a new analysis/crawling suite.
Blank Suite: Create an empty suite for manual configuration:
Use the wopee_create_blank_suite tool to create a blank analysis suite.
Both options will return a suite UUID, which you can use for subsequent operations.
wopee_fetch_analysis_suitesFetches all analysis suites for your project. This is a good starting point to see what suites are available.
Example Usage:
Fetch all existing analysis suites for my project
wopee_dispatch_analysisCreates and dispatches a new analysis/crawling suite for your project, or reruns an existing one. Use this to start a fresh analysis session or to re-trigger a previous analysis.
additionalInstructions _(optional)_ - Additional instructions to guide the agent during the analysis/crawling phase (e.g. focus areas, things to ignore, login steps, etc.)additionalVariables _(optional)_ - Additional environment variables to pass to the analysis. Array of objects, each with:key - Variable name, must be uppercase with underscores only (e.g. MY_VAR, BASE_URL)value - Variable value (non-empty string)rerun _(optional)_ - If provided, reruns an existing analysis suite instead of creating a new one. Object with:suiteUuid - UUID of the existing suite to rerunanalysisIdentifier - Analysis identifier of the existing suitemode - Rerun mode: FULL (reruns the entire analysis including crawling and generation) or CRAWLING (reruns only the crawling phase)Example Usage:
Dispatch a new analysis suite
Dispatch a new analysis suite and focus on the checkout flow
Dispatch a new analysis suite with additional variables CARD_FILAMENT=123321123 and AUTH_TOKEN=abc123
Rerun the full analysis for suite <suiteUuid> with analysis identifier <analysisIdentifier>
Rerun only the crawling phase for suite <suiteUuid> with analysis identifier <analysisIdentifier>
wopee_create_blank_suiteCreates a blank analysis suite for your project. Use this when you want to manually configure and populate a suite rather than having it automatically analyzed.
Example Usage:
Create a blank analysis suite for my project
These tools generate various artifacts for a specific suite. All require a suiteUuid and type to generate.
wopee_generate_artifactGenerates a specific file(artifact) for the selected suite.
suiteUuid - The UUID of the suitetype - "APP_CONTEXT" | "GENERAL_USER_STORIES" | "USER_STORIES_WITH_TEST_CASES" | "TEST_CASES" | "TEST_CASE_STEPS" | "REUSABLE_TEST_CASES" | "REUSABLE_TEST_CASE_STEPS"mode _(optional, TEST_CASES only)_ - "UPDATE" (default) keeps existing test cases with their steps and run history; "CREATE" replaces the test cases in scope and deletes their steps, runs and codeselectedUserStories _(optional)_ - user story ids to limit TEST_CASES / TEST_CASE_STEPS to, e.g. ["US001"]; empty means every storyselectedTestCases _(optional)_ - test case identifiers to limit TEST_CASE_STEPS to, e.g. ["US001:TC002"]instructions _(optional)_ - the change request passed to the AI engineasync _(optional, TEST_CASES / USER_STORIES_WITH_TEST_CASES)_ - return as soon as the run is queued instead of waiting for the artifactExample Usage:
Generate app context for my most recent analysis suite
These tools retrieve generated artifacts for a specific suite. All require a suiteUuid and type.
wopee_fetch_artifactFetches the enquired file(artifact) from the selected suite.
suiteUuid - The UUID of the suitetype - "APP_CONTEXT" | "GENERAL_USER_STORIES" | "USER_STORIES" | "PLAYWRIGHT_CODE" | "PROJECT_CONTEXT"identifier - Identifier of the test case to fetch Playwright code for, ex. US003:TC004Example Usage:
Fetch user stories for the latest suite
These tools are used to update or set certain files(artifacts) for a specific suite. suiteUuid, type and content is required.
wopee_update_artifactUpdates/replaces existing file(artifact) for a specific suite
suiteUuid - The UUID of the suitetype - "APP_CONTEXT" | "GENERAL_USER_STORIES" | "USER_STORIES" | "PLAYWRIGHT_CODE" | "PROJECT_CONTEXT"content - Markdown content for app context, general user stories and project context, structured JSON for user storiesidentifier - Identifier of the test case to fetch Playwright code for, ex. US003:TC004Example Usage:
Update app context file for the most recent suite with this content: <YourMarkdown>
wopee_dispatch_agentDispatches an autonomous testing agent to execute test cases for a selected suite. Tests run asynchronously (typically 1-3 minutes). This tool confirms dispatch and returns tracking info — not final results.
suiteUuid - The UUID of the suite containing the test casesanalysisIdentifier - The analysis identifier for the suitetestCases - Array of test case objects to execute, each containing:testCaseId - The ID of the test caseuserStoryId - The ID of the associated user storywopee_fetch_recent_executions or wopee_fetch_executed_test_cases to check results later.Example Usage:
Dispatch agent for my latest suite's user story US001 and test case TC003
wopee_fetch_recent_executionsFetches the most recent test case executions for the current project (up to 20, newest first). Use this to quickly check the status of recently dispatched tests without needing to remember specific suite UUIDs.
WOPEE_PROJECT_UUID from environment)Example Usage:
What's the status of my recent test runs?
How did my tests go?
wopee_fetch_executed_test_casesFetches executed test cases and their results for a given analysis suite. Use this to check the status and reports of dispatched agent runs.
suiteUuid - The UUID of the analysis suite to fetch results for只显示了开头部分;其余内容请在仓库中阅读