Cloudflare Browser Rendering
Extracts web content using Cloudflare Browser Rendering for use in LLM context.
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This project provides a comprehensive solution for leveraging Cloudflare Browser Rendering to extract web content, specifically tailored for use in Large Language Model (LLM) contexts. It includes experiments with both the REST API and Workers Binding API, offering flexibility and control over the rendering process. The project also features an integrated MCP server implementation, enabling the efficient delivery of web context to LLMs, facilitating more informed and accurate responses.
Características Principales
- MCP server implementation for providing web context to LLMs
- REST API experiments for Cloudflare Browser Rendering
- Workers Binding API experiments with Puppeteer
- Content extraction and processing utilities
- Example Cloudflare Worker with Browser Rendering binding
Casos de Uso
- Searching Cloudflare documentation for LLM-powered chatbots
- Enhancing LLM responses with real-time web content
- Automated web content extraction for AI applications
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