pure.md

pure.md is a service designed to provide optimized web content to Large Language Models (LLMs). It acts as a global cache and intelligent proxy, enabling LLMs to interact with the web more effectively.

What it does:

• Human-like HTTP Requests: Mimics real browser fingerprints and rotates IP addresses to avoid bot detection, with fallbacks to Common Crawl and Internet Archive.
• Headless Content Rendering: Hydrates the DOM of Single-Page Applications (SPAs) to ensure complete page rendering, and automatically parses PDFs, images (with AI object detection/summarization), and spreadsheets into markdown.
• LLM-Optimized Markdown: Converts URLs to markdown, removing superfluous content and adding metadata, to reduce token count and inference costs for LLMs.
• Real-time Knowledge: Integrates SERP crawling to provide up-to-date information for AI applications.
• Generative AI Extraction: Offers POST endpoints to extract structured or unstructured data from web pages using various generative AI models, streaming responses in markdown or custom JSON schemas.

How to use: pure.md supports the Model Context Protocol (MCP). To integrate, refer to the instructions provided in the puremd/puremd-mcp GitHub repository. This allows MCP clients like Cursor, Windsurf, and Claude Desktop to route traffic through the pure.md network for enhanced web interaction.