Fetches and transforms web content into various formats as an MCP server, enabling structured access to web data.
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An MCP server providing LLMs with advanced web crawling, scraping, and search capabilities, enabling complex web research and data extraction tasks. Includes implementations by @vrknetha and @mendableai.
Extracts structured data from web pages using natural language input, converting content into JSON format without custom scraping code. A practical MCP server for web data extraction.
The official MCP Server for Algolia, providing neural ranking and automatic synchronization of search results with other MCP-connected platforms.
An MCP server that provides access to 3,000+ pre-built cloud tools (Actors) for data extraction from websites, e-commerce, social media, and more.
A Model Context Protocol (MCP) server allowing AI models to access and manipulate Apple Calendar data on macOS, directly relevant as an MCP server.
Integrates with Apple's native applications to provide MCP server functionalities such as searching contacts, managing notes, and sending messages within macOS. Also a collection of MCP server tools enabling AI systems to interface with native macOS applications including Messages, Notes, Contacts, and more, via the Model Context Protocol.
fetch-mcp is a flexible HTTP fetching Model Context Protocol (MCP) server that fetches and transforms web content into various formats, enabling structured access to web data.
npm install.npm run build.npm start (runs on stdio).npm run dev starts the TypeScript compiler in watch mode.npm test.MIT License.
No pricing information provided; fetch-mcp is an open-source project.