A TypeScript-based web scraping server built on the Model Context Protocol that offers multiple export formats, content extraction rules, and support for both static and dynamic (SPA) websites.
A TypeScript-based MCP server that provides backend API handling and facilitates communication between microservices. Features an organized structure with controllers, routes, and models for easy extensibility and maintenance.
A TypeScript-based MCP server that enables AI assistants to execute HTTP requests with full control over methods, headers, and body content. It facilitates seamless interaction with web APIs and endpoints through a versatile tool that handles automatic JSON formatting and response truncation.
An MCP server that enables LLMs to understand and work with TypeScript APIs they haven't been trained on by providing structured access to TypeScript type definitions and documentation.
A local MCP server that lets AI agents bypass bot detection, geo-restrictions, and JavaScript rendering challenges when scraping the web, backed by ScraperAPI's services