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
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"e2e-mcp": {
"command": "uv",
"args": [
"venv"
]
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
More Other MCP servers
Servers
modelcontextprotocolModel Context Protocol Servers
FastMCP v2 🚀
jlowin🚀 The fast, Pythonic way to build MCP servers and clients.

Sequential Thinking
modelcontextprotocolModel Context Protocol Servers
MCP Go 🚀
mark3labsA Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.
Production-ready MCP integrations for AI applications
Klavis-AIKlavis AI: MCP integration platforms that let AI agents use tools reliably at any scale
Comments