找到适合你的 MCP Server，快速完成接入

A Model Context Protocol server that provides browser automation capabilities using Playwright, enabling LLMs to interact with web pages through structured accessibility snapshots without requiring screenshots or vision models.

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots, providing browser automation capabilities without requiring screenshots or visually-tuned models.

Playwright MCP Demo (Bmanjunath)

mcp server demo project

A minimal reproduction repository designed to demonstrate and test Chrome extension loading within the Playwright MCP server. It evaluates specific configuration settings required for successful extension injection and page modification.

Enables browser automation and web scraping by exposing Playwright tools through an HTTP-based MCP server. Users can navigate pages, interact with web elements, capture screenshots, and extract structured content using a persistent Chromium instance.

A server that enables LLMs to interact with web pages through structured accessibility snapshots without needing screenshots or visually-tuned models.

Playwright MCP Fetch

This tool provides a Model Context Protocol (MCP) server for fetching content from websites and converting it to different formats using Playwright.

Enables Claude to see and interact with any macOS application using natural language commands. Perfect for testing Mac applications, UI automation, and app development with AI assistance.

A multi-agent orchestrator that enables multiple AI agents to share a single Chrome browser instance with tab isolation and shared state. It preserves local browser data like cookies and logins while allowing concurrent agent sessions through the official Playwright MCP.

Playwright MCP Server 2b378979

This is an experimental project to integrate Playwright with MCP. My plan is to conduct in-depth research, understand the intricacies of the integration, and review the best articles on the web to create the optimal version of a project using both technologies.

Enables web browser automation and inspection using structured data instead of screenshots, allowing AI agents to interact with web pages programmatically through the Playwright framework.

A production-ready browser automation server that enables AI assistants to interact with web pages using tools for navigation, element interaction, and data extraction. It features a built-in Inspector UI and robust crash recovery for reliable automated testing and information retrieval.

Enables browser automation and web interaction through structured accessibility snapshots using Playwright. Supports clicking, typing, navigation, form filling, and other web actions without requiring screenshots or vision models.

A Model Context Protocol server that provides browser automation capabilities using Playwright, enabling LLMs to interact with web pages, take screenshots, generate test code, scrape web content, and execute JavaScript in a real browser environment.

Provides browser automation capabilities using Playwright, enabling users to navigate websites, extract content, take screenshots, and interact with web pages through natural language prompts.

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots, providing browser automation capabilities without requiring screenshots or visually tuned models.

Enables web browser automation through Playwright, providing tools for navigation, element interaction, screenshot capture, and accessibility snapshots. Uses streamableHttp transport for seamless integration with MCP clients.

A Model Context Protocol server that enables AI assistants to perform web automation tasks by connecting to remote Playwright/browserless instances, supporting navigation, screenshots, HTML extraction, and element interaction.

Enables browser automation and web scraping through Playwright, supporting navigation, screenshots, element interaction, form filling, JavaScript execution, and content extraction.

A template project for building Model Context Protocol servers with FastMCP framework, providing example CRUD API implementations, Docker support, and development best practices.