Enhances AI models with web search and content extraction capabilities through Python-based APIs.
Sponsored
Web Cat provides a suite of Python APIs designed to integrate web content into AI applications. It includes both an Azure Functions API and an MCP-compliant server, offering functionalities such as content extraction, text processing, and web search powered by Serper.dev. The APIs are built to responsibly scrape and process website content, enabling seamless integration with AI models like ChatGPT through Custom GPTs. With features like rate limiting, API versioning, and Docker support, Web Cat offers a robust and scalable solution for enriching AI models with real-time web data.
Key Features
01Offers both Server-Sent Events (SSE) streaming and RESTful endpoints.
02Supports easy deployment with Docker containers.
030 GitHub stars
04Compliant with Model Context Protocol (MCP) specifications.
05Extracts clean text from web pages using the readability library.
06Integrates with Serper.dev for web search functionality.
Use Cases
01Enhancing ChatGPT with real-time web information.
02Automating content extraction from websites for data analysis.
03Building AI applications that require web search capabilities.
