GitHub
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제작자가 쓴 설명(영어 원문)
Wopee.io AI testing agents: dispatch analyses and test runs, fetch artifacts and results.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
WOPEE_API_KEY, WOPEE_PROJECT_UUID, WOPEE_API_URL비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"wopee": {
"command": "npx",
"args": [
"-y",
"wopee-mcp"
],
"env": {
"WOPEE_API_KEY": "your-value",
"WOPEE_PROJECT_UUID": "your-value",
"WOPEE_API_URL": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
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-mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"wopee": {
"command": "npx",
"args": [
"-y",
"wopee-mcp"
],
"env": {
"WOPEE_API_KEY": "your-value",
"WOPEE_PROJECT_UUID": "your-value",
"WOPEE_API_URL": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"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"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
WOPEE_PROJECT_UUID envWOPEE_API_URL env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 Wopee-io 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: WOPEE_API_KEY
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.33.0)은 4일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: GitHub, Desktop Commander, Cloudflare MCP
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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 for앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요