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Playwright

blackwhite084/playwright-plus-python-mcp
186
Summary

Wraps Playwright's browser automation capabilities into MCP tools for programmatic web interaction. Exposes operations like navigate, screenshot, click, fill forms, and execute JavaScript directly in browser sessions. Also includes a basic note storage system with summarization prompts, though the main value is the browser automation toolkit. Useful when you need Claude to interact with live web pages, scrape dynamic content, or automate browser-based workflows. The Python implementation handles session management automatically and supports both element-specific and full-page screenshots.

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playwright-server MCP server

\A MCP server with playwright tools\

Playwright Server MCP server

Components

Resources

The server implements a simple note storage system with:

  • Custom note:// URI scheme for accessing individual notes
  • Each note resource has a name, description and text/plain mimetype

Prompts

The server provides a single prompt:

  • summarize-notes: Creates summaries of all stored notes
    • Optional "style" argument to control detail level (brief/detailed)
    • Generates prompt combining all current notes with style preference

Tools

The server implements the following tools:

  • playwright_navigate: Navigates to a specified URL. This operation will automatically create a new session if there is no active session.
    • Requires a url argument (string).
  • playwright_screenshot: Takes a screenshot of the current page or a specific element.
    • Requires a name argument (string) for the screenshot file name.
    • Optional selector argument (string) to specify a CSS selector for the element to screenshot. If no selector is provided, a full-page screenshot is taken.
  • playwright_click: Clicks an element on the page using a CSS selector.
    • Requires a selector argument (string) to specify the CSS selector for the element to click.
  • playwright_fill: Fills out an input field.
    • Requires a selector argument (string) to specify the CSS selector for the input field.
    • Requires a value argument (string) to specify the value to fill.
  • playwright_evaluate: Executes JavaScript code in the browser console.
    • Requires a script argument (string) to specify the JavaScript code to execute.
  • playwright_click_text: Clicks an element on the page by its text content.
    • Requires a text argument (string) to specify the text content of the element to click.
  • playwright_get_text_content: Get the text content of all visiable elements.
  • playwright_get_html_content: Get the HTML content of the page.
    • Requires a selector argument (string) to specify the CSS selector for the element.

Configuration

[TODO: Add configuration details specific to your implementation]

Quickstart

Install

Claude Desktop

On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json On Windows: %APPDATA%/Claude/claude_desktop_config.json

Development/Unpublished Servers Configuration ``` "mcpServers": { "playwright-server": { "command": "uv", "args": [ "--directory", "C:\Users\xxxxx\Documents\project\python\mcp\playwright-server", "run", "playwright-server" ] } } ```
Published Servers Configuration ``` "mcpServers": { "playwright-server": { "command": "uvx", "args": [ "playwright-server" ] } } ```

Development

Building and Publishing

To prepare the package for distribution:

  1. Sync dependencies and update lockfile:
uv sync
  1. Build package distributions:
uv build

This will create source and wheel distributions in the dist/ directory.

  1. Publish to PyPI:
uv publish

Note: You'll need to set PyPI credentials via environment variables or command flags:

  • Token: --token or UV_PUBLISH_TOKEN
  • Or username/password: --username/UV_PUBLISH_USERNAME and --password/UV_PUBLISH_PASSWORD

Debugging

Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using the MCP Inspector.

You can launch the MCP Inspector via npm with this command:

npx @modelcontextprotocol/inspector uv --directory C:\Users\YUNYING\Documents\project\python\mcp\playwright-server run playwright-server

Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.

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Categories
Web & Browser AutomationAutomation & Workflows
UpdatedMar 10, 2026
View on GitHub

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