Playwrightess MCP
P

Playwrightess MCP

An MCP server that provides a persistent Playwright evaluation environment, enabling state retention across calls through a JavaScript programming interface
2.5 points
0

What is Playwriter MCP?

Playwriter MCP is a Model Context Protocol server specifically designed for browser automation. It provides a persistent JavaScript execution environment that allows you to control the Playwright browser automation framework by writing JavaScript code to implement functions such as web page operations, data scraping, and automated testing.

How to use Playwriter MCP?

You only need to configure the server connection in a supported MCP client and then operate the browser by sending JavaScript code snippets. The server will maintain the browser session state, allowing you to continuously execute multiple related operations.

Use cases

Scenarios that require browser automation, such as web data extraction, automated form filling, website function testing, content monitoring, and batch web page operations.

Main features

Persistent execution environment
The browser session and JavaScript execution context maintain their state across multiple calls, supporting complex multi-step automation processes.
Full access to the Playwright API
Provides full access to all features of Playwright, including page navigation, element operations, form filling, etc.
Unified evaluation interface
Execute any JavaScript code through a single playwright_eval tool, simplifying the operation process.
Cross-session state retention
Even in different request sessions, the browser instance and page state remain unchanged.
Advantages
State persistence: No need to repeatedly initialize the browser and login state
Programming flexibility: Supports complex JavaScript logic and asynchronous operations
Simplified interface: A single tool replaces multiple dedicated tools, reducing the learning cost
Real-time interaction: Supports interactive debugging and real-time result viewing
Limitations
Requires JavaScript programming knowledge, which is a certain threshold for non-developers
Experimental project, may contain undiscovered bugs
High resource consumption, sufficient memory is required for long-term operation
Not officially released yet, the API may change

How to use

Install dependencies
First, you need to install Node.js and project dependencies
Configure the MCP client
Add server configuration to your MCP client configuration file
Execute JavaScript code
Send JavaScript code through the playwright_eval tool to operate the browser

Usage examples

Web data extraction
Extract specific information from the target website, such as product prices and news titles
Automated form operations
Automatically fill out and submit web forms to complete operations such as registration and login
Content monitoring
Regularly check for changes in web page content and notify when updates are found

Frequently Asked Questions

Do I need to install Playwright in advance?
Which browsers are supported?
How long is the session state maintained?
How to handle JavaScript errors?

Related resources

Playwright official documentation
Complete Playwright API reference documentation
Model Context Protocol specification
Official specification and description of the MCP protocol
GitHub repository
Project source code and latest updates
Apache 2.0 license
Open source license used by the project

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
6.2K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
5.7K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
5.1K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.4K
4 points
P
Paperbanana
Python
7.5K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
6.4K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
6.6K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
7.4K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
20.5K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
24.7K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
72.9K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
35.6K
5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
32.6K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
63.9K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
22.1K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
49.6K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase