jae-jae/fetcher-mcp

Overview

A Model Context Protocol (MCP) server that fetches web page content using Playwright headless browser. It allows AI models to retrieve rendered HTML or text from URLs via the MCP interface.

Best for

Best for
Developers building MCP-based AI tools that need reliable web page content, especially from dynamic sites

Use cases

• Feeding web page content to AI assistants through MCP
• Scraping JavaScript-rendered pages for data extraction
• Providing real-time web context for LLM-based tools

Notes

A Model Context Protocol (MCP) server that fetches web page content using Playwright headless browser. It allows AI models to retrieve rendered HTML or text from URLs via the MCP interface.

1,051 stars on GitHub. Last updated 2026-01-14. Licensed MIT.

Use cases

• Feeding web page content to AI assistants through MCP
• Scraping JavaScript-rendered pages for data extraction
• Providing real-time web context for LLM-based tools

Pros

• Handles JavaScript-heavy pages that simple HTTP fetch cannot
• Uses Playwright, a modern and well-maintained browser automation tool
• Simple MCP integration for developers using compatible clients

Cons

• Requires a headless browser runtime, increasing resource usage
• Slower than lightweight HTTP fetching due to browser overhead
• Limited to MCP protocol; not a general-purpose scraping solution

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.