Prysm MCP Server

Overview

The Prysm MCP Server is a dedicated web‑scraping service designed to give AI assistants—such as Claude, Cursor, and other MCP‑compatible tools—accurate, flexible access to online content. By exposing a set of scraping and formatting tools through the Model Context Protocol, it removes the need for developers to write custom parsers or handle complex browser automation. Instead, AI agents can simply invoke a single command and receive clean, structured data ready for downstream processing.

This server tackles the common problem of inconsistent web content extraction. Traditional scraping libraries often struggle with dynamic single‑page applications, infinite scrolling, or varying page layouts. Prysm addresses these challenges by offering three distinct scraping modes—focused, balanced, and deep—each tuned for a different trade‑off between speed and thoroughness. The agent can analyze the target URL first to decide which mode best fits the context, ensuring that only necessary resources are fetched and reducing latency.

Key capabilities include:

• Mode‑specific scraping: Choose from fast, balanced, or exhaustive extraction strategies.
• Content analysis: Automatically assess a URL to recommend the optimal scraping approach.
• Flexible output formats: Convert raw scraped data into Markdown, HTML, or JSON with a single tool call.
• Image handling: Optionally extract image URLs and download them locally, with limits on quantity and scroll depth.
• Smart scrolling: Configure how many times the page should be scrolled and the delay between scrolls, making it suitable for infinite‑scroll sites.
• Responsive layout adaptation: Detect and adapt to different page structures, ensuring reliable extraction across diverse websites.
• File persistence: Save formatted results and images to user‑specified directories, facilitating integration with local workflows or cloud storage.

Real‑world use cases span from knowledge‑base creation—where an AI assistant gathers up‑to‑date documentation or product listings—to data mining for research, and even automated content generation pipelines that need reliable source material. In a typical workflow, a developer configures the MCP server via , then instructs an AI agent to scrape a target URL. The agent receives structured data, which can be fed directly into downstream models or stored for later analysis.

What sets Prysm apart is its thoughtful balance between developer convenience and scraping robustness. By providing a single, well‑documented interface that handles both the mechanics of browser automation and the nuances of dynamic content, it empowers developers to focus on higher‑level logic while trusting the server to deliver consistent, high‑quality data.