This tool provides a Model Context Protocol (MCP) server for fetching content from websites and converting it to different formats using Playwright.
更新时间:2025-03-16 16:39:17
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.
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.
- 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.
Firecrawl MCP Server is an implementation of the Model Context Protocol (MCP) designed to enhance web scraping capabilities, particularly for large language model (LLM) clients like Cursor and Claude. It supports JavaScript rendering, automatic retries, rate limiting, and logging features, making it suitable for both cloud and self-hosted environments.