What is the advantage over traditional web scrapers?
Fetcher MCP uses Playwright to execute JavaScript, enabling it to handle dynamic web content and modern web applications that traditional scrapers cannot.
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Basic information
MCP server for fetch web page content using Playwright headless browser.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"fetcher-mcp": {
"command": "npx",
"args": [
"-y",
"fetcher-mcp"
]
}
}
}Retrieve web page content from a specified URL
Retrieve web page content from multiple specified URLs
Install Playwright Chromium browser binary. Call this if you get an error about the browser not being installed.
Fetcher MCP is an MCP server for fetching web page content using the Playwright headless browser. It is designed for users who need to extract content from dynamic websites that require JavaScript execution, and supports intelligent main content extraction via the Readability algorithm.
Run directly with npx -y fetcher-mcp, after installing the required browser with npx playwright install chromium. Configure the server in Claude Desktop JSON, or deploy via Docker. Use --transport=http to enable HTTP and SSE endpoints. The server provides tools like fetch_url, fetch_urls, and browser_install.
fetch_urls toolFetcher MCP uses Playwright to execute JavaScript, enabling it to handle dynamic web content and modern web applications that traditional scrapers cannot.
Requires Node.js and Playwright's Chromium browser. Can be run via npx or Docker.
The built-in Readability algorithm automatically extracts the main content from web pages, removing ads, navigation, and other non‑essential elements.
Yes, the `fetch_urls` tool enables concurrent fetching of multiple URLs with parallel processing for improved efficiency.
The server supports both Streamable HTTP endpoint (`/mcp`) and SSE endpoint (`/sse`) when started with `--transport=http`.
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Fast, lightweight Firecrawl/Tavily alternative in Rust. Web scraper, crawler & search API with MCP server for AI agents. Drop-in Firecrawl-compatible API (/scrape, /crawl, /search). 2.3x faster than Tavily, 1.5x faster than Firecrawl in 1K-URL benchmarks. 6 MB RAM, single binary.
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