Fetcher MCP
MCP server for fetch web page content using Playwright headless browser.
What is Fetcher MCP?
what is Fetcher MCP? Fetcher MCP is a server application designed to fetch web page content using the Playwright headless browser, enabling users to retrieve and process web data efficiently. how to use Fetcher MCP? To use Fetcher MCP, you can run it directly with the command npx -y fetcher-mcp. For debugging, use the --debug option to open the browser window. key features of Fetcher MCP? fetch_url: Retrieve content from a single URL with intelligent extraction and Markdown conversion. fetch_urls: Batch fetch content from multiple URLs in parallel for improved performance. Customizable parameters for timeout, content extraction, and output format. use cases of Fetcher MCP? Scraping data from news websites for analysis. Collecting product information from e-commerce sites. Aggregating content from multiple blogs for research purposes. FAQ from Fetcher MCP? Can Fetcher MCP handle JavaScript-heavy websites? Yes! Fetcher MCP uses Playwright, which can render JavaScript content. Is there a limit to the number of URLs I can fetch? No, you can fetch multiple URLs in parallel, but performance may vary based on the number of requests. How do I configure the MCP server? You can configure it in the Claude Desktop application by editing the claude_desktop_config.json file.
As an MCP (Model Context Protocol) server, Fetcher MCP enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use Fetcher MCP
To use Fetcher MCP, you can run it directly with the command npx -y fetcher-mcp. For debugging, use the --debug option to open the browser window. key features of Fetcher MCP? fetch_url: Retrieve content from a single URL with intelligent extraction and Markdown conversion. fetch_urls: Batch fetch content from multiple URLs in parallel for improved performance. Customizable parameters for timeout, content extraction, and output format. use cases of Fetcher MCP? Scraping data from news websites for analysis. Collecting product information from e-commerce sites. Aggregating content from multiple blogs for research purposes. FAQ from Fetcher MCP? Can Fetcher MCP handle JavaScript-heavy websites? Yes! Fetcher MCP uses Playwright, which can render JavaScript content. Is there a limit to the number of URLs I can fetch? No, you can fetch multiple URLs in parallel, but performance may vary based on the number of requests. How do I configure the MCP server? You can configure it in the Claude Desktop application by editing the claude_desktop_config.json file.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like Fetcher MCP can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like Fetcher MCP provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.