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Descripción del creador (original en inglés)
Wopee.io AI testing agents: dispatch analyses and test runs, fetch artifacts and results.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
WOPEE_API_KEY, WOPEE_PROJECT_UUID, WOPEE_API_URLLos valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en 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"
}
}
}
}Ejecuta esto en tu terminal
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-mcpCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.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"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"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"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
WOPEE_PROJECT_UUID envWOPEE_API_URL envEsta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 8 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub Wopee-io, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
Debes completar: WOPEE_API_KEY
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (1.33.0) llegó al registro hace 4 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: GitHub, Desktop Commander, Cloudflare MCP
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
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
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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 forSolo se muestra el principio; lee el resto en el repo