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PopNx MCPMCP servers for people who use AI · explained in plain words

Wopee MCP

by Wopee-ioversion 1.33.0i★ –iRuns on your computer
Registry nameio.github.Wopee-io/wopee-mcp

Install

Overview

Description from the maker (original English)

Wopee.io AI testing agents: dispatch analyses and test runs, fetch artifacts and results.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Developer tools
  • You need to fill in: WOPEE_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: WOPEE_API_KEY, WOPEE_PROJECT_UUID, WOPEE_API_URL

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into 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"
      }
    }
  }
}

Run this in your 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-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.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"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "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"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • WOPEE_API_KEY secret required env
    Wopee.io API key for authentication
  • WOPEE_PROJECT_UUID env
    UUID of the Wopee.io project to work with
  • WOPEE_API_URL env
    Wopee.io API base URL (defaults to https://api.wopee.io)

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account Wopee-io, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

  • More stars than 0% of the other 4932 servers in this category
  • Published to the registry more recently than 88% of the other 4932 servers in this category
  • Basic checks equal to or better than 100% of the other 4932 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Wopee MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: WOPEE_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.33.0) reached the registry 5 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

GitHub

GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

by githubWidely used★ 34.2KUpdated 5 days ago

Computer or cloud

Desktop Commander

MCP server for terminal commands, file operations, and process management

by wonderwhy-erWidely used↓ 709.6K/wk★ 10.2KUpdated 17 days ago

Runs on your computer

Cloudflare MCP

Cloudflare MCP servers

by cloudflareGrowing★ 4.4KUpdated 14 months ago

Runs in the cloud✓ mcp.cloudflare.com

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Wopee.io MCP Server

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)

Setup

Prerequisites
  • Node.js (v18 or higher recommended)
  • An IDE that supports MCP (Model Context Protocol), such as Cursor or VSCode
MCP Server Configuration

Add this server to your MCP configuration.

Configuration Example
{

"mcpServers": { "wopee": { "command": "npx wopee-mcp", "env": { "WOPEE_PROJECT_UUID": "your-project-uuid-here", "WOPEE_API_KEY": "your-api-key-here" } } } }

Required Environment Variables
  • `WOPEE_PROJECT_UUID` - Your Wopee.io project UUID. This identifies which project you're working with.
  • `WOPEE_API_KEY` - Your Wopee.io API key. You can create one at cmd.wopee.io, in your project's settings.
Optional Environment Variables
  • `WOPEE_API_URL` - The Wopee.io API endpoint URL. Should be specified only for testing/development purposes.
Corporate Proxy Configuration

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" } } } }

Supported Proxy Environment Variables
  • `HTTPS_PROXY` or `https_proxy` - Proxy server URL for HTTPS connections (recommended)
  • `HTTP_PROXY` or `http_proxy` - Fallback proxy server URL
Finding Your Proxy Settings

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:8080
  • http://10.x.x.x:8080
  • http://username:password@proxy.company.com:8080 (if authentication is required)
TLS / Certificate Issues

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:

  • Self-signed certificates (e.g. when WOPEE_API_URL points to an internal or dev server)
  • Corporate proxy / SSL inspection (traffic re-encrypted with a corporate CA your machine doesn’t trust)
  • Missing CA certificates in Node’s trust store
Preferred solutions (secure)
  1. Use a valid TLS certificate – e.g. Let’s Encrypt, or an internal CA – and ensure the full certificate chain is served.
  2. Install the corporate or internal CA so Node trusts it:

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" }

Insecure workaround (not recommended)

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.

Getting Started

Most tools in this MCP server require a suiteUuid to operate. You have two options to get started:

Option 1: Use Existing Suites

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.

Option 2: Create a New Suite

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.

Available Tools

Suite Management
wopee_fetch_analysis_suites

Fetches all analysis suites for your project. This is a good starting point to see what suites are available.

  • Returns: Array of analysis suites with their UUIDs, names, statuses, and metadata

Example Usage:

Fetch all existing analysis suites for my project
wopee_dispatch_analysis

Creates 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.

  • Parameters:
  • 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 rerun
  • analysisIdentifier - Analysis identifier of the existing suite
  • mode - Rerun mode: FULL (reruns the entire analysis including crawling and generation) or CRAWLING (reruns only the crawling phase)
  • Returns: Success message with the created/rerun suite information

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_suite

Creates 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.

  • Returns: The created suite information including its UUID

Example Usage:

Create a blank analysis suite for my project
Generation Tools

These tools generate various artifacts for a specific suite. All require a suiteUuid and type to generate.

wopee_generate_artifact

Generates a specific file(artifact) for the selected suite.

  • Parameters:
  • suiteUuid - The UUID of the suite
  • type - "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 code
  • selectedUserStories _(optional)_ - user story ids to limit TEST_CASES / TEST_CASE_STEPS to, e.g. ["US001"]; empty means every story
  • selectedTestCases _(optional)_ - test case identifiers to limit TEST_CASE_STEPS to, e.g. ["US001:TC002"]
  • instructions _(optional)_ - the change request passed to the AI engine
  • async _(optional, TEST_CASES / USER_STORIES_WITH_TEST_CASES)_ - return as soon as the run is queued instead of waiting for the artifact
  • Returns: Generated output in case of successful generation.

Example Usage:

Generate app context for my most recent analysis suite
Fetch Tools

These tools retrieve generated artifacts for a specific suite. All require a suiteUuid and type.

wopee_fetch_artifact

Fetches the enquired file(artifact) from the selected suite.

  • Parameters:
  • suiteUuid - The UUID of the suite
  • type - "APP_CONTEXT" | "GENERAL_USER_STORIES" | "USER_STORIES" | "PLAYWRIGHT_CODE" | "PROJECT_CONTEXT"
  • identifier - Identifier of the test case to fetch Playwright code for, ex. US003:TC004
  • Returns: The file contents in case of successful fetch.

Example Usage:

Fetch user stories for the latest suite
Update Tools

These tools are used to update or set certain files(artifacts) for a specific suite. suiteUuid, type and content is required.

wopee_update_artifact

Updates/replaces existing file(artifact) for a specific suite

  • Parameters:
  • suiteUuid - The UUID of the suite
  • type - "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 stories
  • identifier - Identifier of the test case to fetch Playwright code for, ex. US003:TC004
  • Returns: Boolean based of success status of the tool call

Example Usage:

Update app context file for the most recent suite with this content: <YourMarkdown>
Agent Testing
wopee_dispatch_agent

Dispatches 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.

  • Parameters:
  • suiteUuid - The UUID of the suite containing the test cases
  • analysisIdentifier - The analysis identifier for the suite
  • testCases - Array of test case objects to execute, each containing:
  • testCaseId - The ID of the test case
  • userStoryId - The ID of the associated user story
  • Returns: Dispatch confirmation with tracking info (suite UUID, analysis identifier, per-test-case execution status). Does NOT return pass/fail results — use wopee_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
Test Results
wopee_fetch_recent_executions

Fetches 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.

  • Parameters: None (uses WOPEE_PROJECT_UUID from environment)
  • Returns: List of recent executions with execution status (IN_PROGRESS, IN_QUEUE, FINISHED, FAILED), agent reports, and pass/fail results

Example Usage:

What's the status of my recent test runs?
How did my tests go?
wopee_fetch_executed_test_cases

Fetches executed test cases and their results for a given analysis suite. Use this to check the status and reports of dispatched agent runs.

  • Parameters:
  • suiteUuid - The UUID of the analysis suite to fetch results for
  • `analysisI

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