Playwright MCP, verified

MCP server by Microsoft · Verified

Automatiza un navegador real mediante snapshots de accesibilidad de Playwright en lugar de capturas de pantalla.

Runs locally (Runs on your machine: its page has the install command)Runs with npx

Install Playwright MCP

Runs on your machine. Your client starts it with this command:

npx -y @playwright/mcp

Needs Node.js on your computer. The setup steps below show where the command goes in each client.

Share this server

Opens this page, with the install command and setup steps.

mcp.tc/i/playwright

About

Conecta un cliente MCP con Playwright para que un asistente pueda controlar un navegador e interactuar con páginas web. Trabaja a partir de snapshots de accesibilidad estructurados de la página, por lo que no se necesitan capturas de pantalla ni modelos de visión.

Se ejecuta en local mediante stdio con npx @playwright/mcp@latest y requiere Node.js 18 o superior. No se necesita cuenta ni clave de API. Funciona con VS Code, Cursor, Windsurf, Claude Desktop, Claude Code, Codex, Gemini CLI, Goose y otros clientes MCP.

What you can do

  • Controlar un navegador mediante snapshots de accesibilidad estructurados
  • Interactuar con páginas web sin modelos de visión
  • Mantener un estado de navegador persistente entre pasos
  • Admitir automatización exploratoria y pruebas con autorreparación
  • Instalar en muchos clientes MCP con un solo comando npx

Tools

Local servers list their tools once they’re running, and this one doesn’t publish its list in advance. Your client shows them after you add it.

Example prompts

  • Abre example.com y dime qué enlaces hay en la página

  • Rellena el formulario de registro de mi sitio de desarrollo local y envíalo

  • Recorre el flujo de pago e informa de los errores que veas

  • Explora esta aplicación web y lista las páginas y acciones principales

Set up

Every client starts Playwright MCP on your machine with the same command. Pick yours; the page remembers your choice.

Claude Code

  1. Run this in a terminal, in your project folder:
claude mcp add --transport stdio playwright -- npx -y @playwright/mcp
  1. Start Claude Code and type /mcp. playwright should show as connected.

Add --scope user to make it available in every project.

Claude Desktop

  1. Open Settings → Developer → Edit Config. It opens claude_desktop_config.json. Add:
claude_desktop_config.json
{
  "mcpServers": {
    "playwright": {
      "command": "npx",
      "args": [
        "-y",
        "@playwright/mcp"
      ]
    }
  }
}
  1. Save the file and restart Claude Desktop.

Needs Node.js on your computer. The file lives in ~/Library/Application Support/Claude/ on macOS and %APPDATA%\Claude\ on Windows.

Cursor

Or add it by hand to ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (this project):

mcp.json
{
  "mcpServers": {
    "playwright": {
      "command": "npx",
      "args": [
        "-y",
        "@playwright/mcp"
      ]
    }
  }
}

Needs Node.js on your computer.

VS Code

Or from a terminal:

code --add-mcp '{"name":"playwright","type":"stdio","command":"npx","args":["-y","@playwright/mcp"]}'

Or commit it to the repo in .vscode/mcp.json:

.vscode/mcp.json
{
  "servers": {
    "playwright": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@playwright/mcp"
      ]
    }
  }
}

Needs Node.js on your computer.

Devin Desktop

  1. Add it to ~/.config/devin/mcp_config.json (macOS and Linux) or %APPDATA%\devin\mcp_config.json (Windows):
mcp_config.json
{
  "mcpServers": {
    "playwright": {
      "command": "npx",
      "args": [
        "-y",
        "@playwright/mcp"
      ]
    }
  }
}
  1. Refresh the MCP server list in Cascade.

Devin Desktop is the new name for Windsurf.

Codex

codex mcp add playwright -- npx -y @playwright/mcp

Or edit ~/.codex/config.toml directly:

config.toml
[mcp_servers.playwright]
command = "npx"
args = ["-y", "@playwright/mcp"]

Needs Node.js on your computer.

Gemini CLI

gemini mcp add playwright npx -- -y @playwright/mcp

This adds it to the current project. Add -s user to use it everywhere.

Any client

Most clients that start local servers accept this shape:

{
  "mcpServers": {
    "playwright": {
      "command": "npx",
      "args": [
        "-y",
        "@playwright/mcp"
      ]
    }
  }
}

Zed puts servers under context_servers in its settings, with the same command, args and env fields.

Needs Node.js on your computer.

FAQ

Can I paste mcp.tc/i/playwright into my MCP client?

No. Playwright MCP runs on your own computer, started by your client, so it has no web address to connect to. The quick link is the page to share; the install command is npx -y @playwright/mcp.

Does Playwright MCP need an API key?

No. It doesn’t declare any keys or environment variables. It runs with your user account’s permissions, so check what its tools can reach.

Is Playwright MCP a remote or a local server?

Local. Your client starts it as a process on your computer with npx -y @playwright/mcp, which needs Node.js.

What can Playwright MCP do?

You can controlar un navegador mediante snapshots de accesibilidad estructurados, interactuar con páginas web sin modelos de visión and mantener un estado de navegador persistente entre pasos.

Which clients can use it?

Any client that starts local servers: Claude Code, Claude Desktop, Cursor, VS Code, Devin Desktop, Codex, Gemini CLI, Zed and others. claude.ai and ChatGPT only connect to remote servers.

Who wrote this page?

mcp.tc’s robot read Playwright MCP’s public metadata (its package and repository pages), and an AI model drafted the text from it. A person reviews anything the checks can’t confirm. The text can still be wrong, so if you spot a mistake, use Report this listing on this page. This translation was made by an AI model from the English text.

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mcp.tc isn’t affiliated with Microsoft. This page was built from Playwright MCP’s public metadata, last checked on 4 Oct 2026, and an AI model wrote the description, so it can be wrong. Names and marks belong to their owners. Something off? Report this listing. The translation was made by an AI model from the English text.