Extract focused web content with optimized scraping, limited scrolls, and customizable image extraction for efficient data collection on Prysm MCP Server.
Search web content and retrieve results with optional scraping for full page extraction. Returns SERP data or detailed content based on specified formats.
Enables retrieval and cleaning of official documentation content for popular AI/Python libraries (uv, langchain, openai, llama-index) through web scraping and LLM-powered content extraction. Uses Serper API for search and Groq API to clean HTML into readable text with source attribution.
Extract content from URLs, documents, videos, and audio files using intelligent auto-engine selection. Supports web pages, PDFs, Word docs, YouTube transcripts, and more with structured JSON responses.
A demonstration server showing MCP implementation in Python with resource handling, tool operations, and reusable prompts for a simple user/post system with local database.