Web Cat
Enhances AI models with web search and content extraction capabilities through Python-based APIs.
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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.
Características Principales
- Offers both Server-Sent Events (SSE) streaming and RESTful endpoints.
- Supports easy deployment with Docker containers.
- 0 GitHub stars
- Compliant with Model Context Protocol (MCP) specifications.
- Extracts clean text from web pages using the readability library.
- Integrates with Serper.dev for web search functionality.
Casos de Uso
- Enhancing ChatGPT with real-time web information.
- Automating content extraction from websites for data analysis.
- Building AI applications that require web search capabilities.
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