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MCP Server for Running E2E Tests

@m2rads

About MCP Server for Running E2E Tests

e2e mcp server to automate validating your ai generated code

Basic information

Category

Other

Runtime

python

Transports

stdio

Publisher

m2rads

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "e2e-mcp": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

Tools

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Overview

What is MCP Server for Running E2E Tests?

An MCP server that enables AI coding agents in IDEs like Cursor and Windsurf to run end‑to‑end tests using Playwright. It streamlines the “vibe coding” workflow by connecting the AI agent directly to browser‑based test execution.

How to use MCP Server for Running E2E Tests?

Set up a Python 3.11+ environment with uv venv and install dependencies (uv pip install -r requirements.txt and playwright install). Add your LLM API key as OPENAI_API_KEY. The server communicates via stdio transport and is invoked with uv run mcp dev server.py for debugging.

Key features of MCP Server for Running E2E Tests

  • Connects to Cursor and Windsurf AI IDEs
  • Runs browser‑based end‑to‑end tests
  • Uses Playwright for automation
  • Requires Python 3.11+
  • Communicates via stdio MCP transport

Use cases of MCP Server for Running E2E Tests

  • Running E2E tests triggered by an AI coding agent
  • Testing web applications during “vibe coding” sessions
  • Integrating automated browser tests into a AI‑assisted development loop

FAQ from MCP Server for Running E2E Tests

What are the prerequisites?

Python 3.11 or higher and an LLM provider (e.g., OpenAI). Playwright must be installed via playwright install.

How do I set up the server?

Create a virtual environment with uv venv, activate it, install requirements.txt, and set the OPENAI_API_KEY environment variable.

What transport does the server use?

It uses stdio as the MCP transport. All browser output is disabled to avoid interfering with the protocol.

How can I debug the server?

Run uv run mcp dev server.py to use the MCP inspector tool.

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