Playwright Server MCP
The server provides tools for web automation using Playwright, allowing navigation, interaction, and JavaScript execution on web pages, and supports note storage with summarization capabilities.
blackwhite084
Tools
playwright_navigate
Navigate to a URL,thip op will auto create a session
playwright_screenshot
Take a screenshot of the current page or a specific element
playwright_click
Click an element on the page using CSS selector
playwright_fill
Fill out an input field
playwright_evaluate
Execute JavaScript in the browser console
playwright_click_text
Click an element on the page by its text content
playwright_get_text_content
Get the text content of all elements
playwright_get_html_content
Get the HTML content of the page
README
playwright-server MCP server
\A MCP server with playwright tools\
<a href="https://glama.ai/mcp/servers/c50bsocgzb"><img width="380" height="200" src="https://glama.ai/mcp/servers/c50bsocgzb/badge" alt="Playwright Server MCP server" /></a>
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).
- Requires a
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.
- Requires a
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.
- Requires a
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.
- Requires a
playwright_evaluate
: Executes JavaScript code in the browser console.- Requires a
script
argument (string) to specify the JavaScript code to execute.
- Requires a
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.
- Requires a
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.
- Requires a
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
<details> <summary>Development/Unpublished Servers Configuration</summary>
"mcpServers": {
"playwright-server": {
"command": "uv",
"args": [
"--directory",
"C:\Users\xxxxx\Documents\project\python\mcp\playwright-server",
"run",
"playwright-server"
]
}
}
</details>
<details> <summary>Published Servers Configuration</summary>
"mcpServers": {
"playwright-server": {
"command": "uvx",
"args": [
"playwright-server"
]
}
}
</details>
Development
Building and Publishing
To prepare the package for distribution:
- Sync dependencies and update lockfile:
uv sync
- Build package distributions:
uv build
This will create source and wheel distributions in the dist/
directory.
- Publish to PyPI:
uv publish
Note: You'll need to set PyPI credentials via environment variables or command flags:
- Token:
--token
orUV_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.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Playwright MCP Server
Provides a server utilizing Model Context Protocol to enable human-like browser automation with Playwright, allowing control over browser actions such as navigation, element interaction, and scrolling.
@kazuph/mcp-fetch
Model Context Protocol server for fetching web content and processing images. This allows Claude Desktop (or any MCP client) to fetch web content and handle images appropriately.
Apple MCP Server
Enables interaction with Apple apps like Messages, Notes, and Contacts through the MCP protocol to send messages, search, and open app content using natural language.
DuckDuckGo MCP Server
A Model Context Protocol (MCP) server that provides web search capabilities through DuckDuckGo, with additional features for content fetching and parsing.
YouTube Transcript MCP Server
This server retrieves transcripts for given YouTube video URLs, enabling integration with Goose CLI or Goose Desktop for transcript extraction and processing.
serper-search-scrape-mcp-server
This Serper MCP Server supports search and webpage scraping, and all the most recent parameters introduced by the Serper API, like location.
The Verge News MCP Server
Provides tools to fetch and search news from The Verge's RSS feed, allowing users to get today's news, retrieve random articles from the past week, and search for specific keywords in recent Verge content.
Tavily MCP Server
Provides AI-powered web search capabilities using Tavily's search API, enabling LLMs to perform sophisticated web searches, get direct answers to questions, and search recent news articles.
Todoist MCP
An MCP server that enables LLMs to interact with Todoist tasks, projects, and other features through the Todoist API.