Playwright vs playwright-mcp-fetch

Playwright

A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright. This server enables LLMs to interact with web pages through structured accessibility snapshots, bypassing the need for screenshots or visually-tuned models.

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What is playwright_mcp

Playwright MCP is a Model Context Protocol server designed to offer browser automation using Playwright. It allows large language models to engage with web pages by leveraging structured accessibility snapshots, eliminating the need for screenshots or visual processing models.

How to use playwright_mcp

To use Playwright MCP, run the command `npx @playwright/mcp@latest` in your terminal. You can configure it to run in headless mode or with a display based on your specific needs.

Key features of playwright_mcp

Fast and lightweight operation using Playwright’s accessibility tree.
LLM-friendly operation using structured data, no need for vision models.
Deterministic tool application reduces ambiguity compared to screenshot-based methods.

Use cases of playwright_mcp

Web navigation and form-filling.
Data extraction from structured content.
Automated testing driven by LLMs.
General-purpose browser interaction for agents.

FAQ from playwright_mcp

- Can Playwright MCP be used for all types of web automation? Yes! Playwright MCP supports a wide range of web automation tasks including navigation, data extraction, and form interactions. - Is Playwright MCP free to use? Yes! Playwright MCP is open-source and free to use for everyone. - How does Playwright MCP handle accessibility? Playwright MCP uses accessibility snapshots to interact with web pages, ensuring better performance and reliability.

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.

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What is playwright_mcp_fetch

playwright-mcp-fetch is a Python-based tool that acts as an MCP server to fetch content from websites. It allows you to retrieve data in various formats, including HTML, Markdown, plain text, and JSON. This makes it suitable for web scraping and content extraction tasks.

How to use playwright_mcp_fetch

1. Install playwright-mcp-fetch using `pip install -e .` 2. Run the server to start the MCP service. 3. Use the available endpoints to fetch website content in different formats.

Key features of playwright_mcp_fetch

Fetch raw HTML content from websites.
Convert fetched content to Markdown format.
Retrieve plain text content with HTML tags removed.
Parse and fetch JSON content from websites.

Use cases of playwright_mcp_fetch

Web scraping for data extraction.
Converting web content into Markdown for documentation.
Fetching and processing JSON data from APIs.

FAQ from playwright_mcp_fetch

- What programming language is playwright-mcp-fetch written in? Python. - How do I install playwright-mcp-fetch? You can install it by cloning the repository and running `pip install -e .`. - Can I run playwright-mcp-fetch in a Docker container? Yes! It supports Docker for easy deployment.