Prysm MCP Server

Prysm MCP Server

A Model Context Protocol server enabling AI assistants to scrape web content with high accuracy and flexibility, supporting multiple scraping modes and content formatting options.

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Tools

scrapeFocused

Fast web scraping optimized for speed (fewer scrolls, main content only)

scrapeBalanced

Balanced web scraping approach with good coverage and reasonable speed

scrapeDeep

Maximum extraction web scraping (slower but thorough)

formatResult

Format scraped data into different structured formats (markdown, HTML, JSON)

README

🔍 Prysm MCP Server

The Prysm MCP (Model Context Protocol) Server enables AI assistants like Claude and others to scrape web content with high accuracy and flexibility.

✨ Features

  • 🎯 Multiple Scraping Modes: Choose from focused (speed), balanced (default), or deep (thorough) modes
  • 🧠 Content Analysis: Analyze URLs to determine the best scraping approach
  • 📄 Format Flexibility: Format results as markdown, HTML, or JSON
  • 🖼️ Image Support: Optionally extract and even download images
  • 🔍 Smart Scrolling: Configure scroll behavior for single-page applications
  • 📱 Responsive: Adapts to different website layouts and structures
  • 💾 File Output: Save formatted results to your preferred directory

🚀 Quick Start

Installation

# Recommended: Install the LLM-optimized version
npm install -g @pinkpixel/prysm-mcp

# Or install the standard version
npm install -g prysm-mcp

# Or clone and build
git clone https://github.com/pinkpixel-dev/prysm-mcp.git
cd prysm-mcp
npm install
npm run build

Integration Guides

We provide detailed integration guides for popular MCP-compatible applications:

Usage

There are multiple ways to set up Prysm MCP Server:

Using mcp.json Configuration

Create a mcp.json file in the appropriate location according to the above guides.

{
  "mcpServers": {
    "prysm-scraper": {
      "description": "Prysm web scraper with custom output directories",
      "command": "npx",
      "args": [
        "-y",
        "@pinkpixel/prysm-mcp"
      ],
      "env": {
        "PRYSM_OUTPUT_DIR": "${workspaceFolder}/scrape_results",
        "PRYSM_IMAGE_OUTPUT_DIR": "${workspaceFolder}/scrape_results/images"
      }
    }
  }
}

🛠️ Tools

The server provides the following tools:

scrapeFocused

Fast web scraping optimized for speed (fewer scrolls, main content only).

Please scrape https://example.com using the focused mode

Available Parameters:

  • url (required): URL to scrape
  • maxScrolls (optional): Maximum number of scroll attempts (default: 5)
  • scrollDelay (optional): Delay between scrolls in ms (default: 1000)
  • scrapeImages (optional): Whether to include images in results
  • downloadImages (optional): Whether to download images locally
  • maxImages (optional): Maximum images to extract
  • output (optional): Output directory for downloaded images

scrapeBalanced

Balanced web scraping approach with good coverage and reasonable speed.

Please scrape https://example.com using the balanced mode

Available Parameters:

  • Same as scrapeFocused with different defaults
  • maxScrolls default: 10
  • scrollDelay default: 2000
  • Adds timeout parameter to limit total scraping time (default: 30000ms)

scrapeDeep

Maximum extraction web scraping (slower but thorough).

Please scrape https://example.com using the deep mode with maximum scrolls

Available Parameters:

  • Same as scrapeFocused with different defaults
  • maxScrolls default: 20
  • scrollDelay default: 3000
  • maxImages default: 100

formatResult

Format scraped data into different structured formats (markdown, HTML, JSON).

Format the scraped data as markdown

Available Parameters:

  • data (required): The scraped data to format
  • format (required): Output format - "markdown", "html", or "json"
  • includeImages (optional): Whether to include images in output (default: true)
  • output (optional): File path to save the formatted result

You can also save formatted results to a file by specifying an output path:

Format the scraped data as markdown and save it to "my-results/output.md"

⚙️ Configuration

Output Directory

By default, when saving formatted results, files will be saved to ~/prysm-mcp/output/. You can customize this in two ways:

  1. Environment Variables: Set environment variables to your preferred directories:
# Linux/macOS
export PRYSM_OUTPUT_DIR="/path/to/custom/directory"
export PRYSM_IMAGE_OUTPUT_DIR="/path/to/custom/image/directory"

# Windows (Command Prompt)
set PRYSM_OUTPUT_DIR=C:\path\to\custom\directory
set PRYSM_IMAGE_OUTPUT_DIR=C:\path\to\custom\image\directory

# Windows (PowerShell)
$env:PRYSM_OUTPUT_DIR="C:\path\to\custom\directory"
$env:PRYSM_IMAGE_OUTPUT_DIR="C:\path\to\custom\image\directory"
  1. Tool Parameter: Specify output paths directly when calling the tools:
# For general results
Format the scraped data as markdown and save it to "/absolute/path/to/file.md"

# For image downloads when scraping
Please scrape https://example.com and download images to "/absolute/path/to/images"
  1. MCP Configuration: In your MCP configuration file (e.g., .cursor/mcp.json), you can set these environment variables:
{
  "mcpServers": {
    "prysm-scraper": {
      "command": "npx",
      "args": ["-y", "@pinkpixel/prysm-mcp"],
      "env": {
        "PRYSM_OUTPUT_DIR": "${workspaceFolder}/scrape_results",
        "PRYSM_IMAGE_OUTPUT_DIR": "${workspaceFolder}/scrape_results/images"
      }
    }
  }
}

If PRYSM_IMAGE_OUTPUT_DIR is not specified, it will default to a subfolder named images inside the PRYSM_OUTPUT_DIR.

If you provide only a relative path or filename, it will be saved relative to the configured output directory.

Path Handling Rules

The formatResult tool handles paths in the following ways:

  • Absolute paths: Used exactly as provided (/home/user/file.md)
  • Relative paths: Saved relative to the configured output directory (subfolder/file.md)
  • Filename only: Saved in the configured output directory (output.md)
  • Directory path: If the path points to a directory, a filename is auto-generated based on content and timestamp

🏗️ Development

# Install dependencies
npm install

# Build the project
npm run build

# Run the server locally
node bin/prysm-mcp

# Debug MCP communication
DEBUG=mcp:* node bin/prysm-mcp

# Set custom output directories
PRYSM_OUTPUT_DIR=./my-output PRYSM_IMAGE_OUTPUT_DIR=./my-output/images node bin/prysm-mcp

Running via npx

You can run the server directly with npx without installing:

# Run with default settings
npx @pinkpixel/prysm-mcp

# Run with custom output directories
PRYSM_OUTPUT_DIR=./my-output PRYSM_IMAGE_OUTPUT_DIR=./my-output/images npx @pinkpixel/prysm-mcp

📋 License

MIT

🙏 Credits

Developed by Pink Pixel

Powered by the Model Context Protocol and Puppeteer

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