GitHub
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作者による説明(英語の原文)
Wopee.io AI testing agents: dispatch analyses and test runs, fetch artifacts and results.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
WOPEE_API_KEY, WOPEE_PROJECT_UUID, WOPEE_API_URL「秘密」と表示された値は、あなたのアカウントの鍵です。絶対に人に教えたり、チャットに貼り付けたりしないでください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"wopee": {
"command": "npx",
"args": [
"-y",
"wopee-mcp"
],
"env": {
"WOPEE_API_KEY": "your-value",
"WOPEE_PROJECT_UUID": "your-value",
"WOPEE_API_URL": "your-value"
}
}
}
}ターミナルでこれを実行します
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動かす前に、空欄の値を入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"wopee": {
"command": "npx",
"args": [
"-y",
"wopee-mcp"
],
"env": {
"WOPEE_API_KEY": "your-value",
"WOPEE_PROJECT_UUID": "your-value",
"WOPEE_API_URL": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"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"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
WOPEE_PROJECT_UUID envWOPEE_API_URL envこの設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月8日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント Wopee-io で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
入力が必要なもの:WOPEE_API_KEY
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(1.33.0)がレジストリに届いたのは4 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにNode.jsも必要です。
同じカテゴリには:GitHub, Desktop Commander, Cloudflare MCP
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日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
Cloudflare MCP servers
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
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冒頭だけを表示しています。続きはリポジトリで読めます