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Prysm Mcp Server
What is Prysm Mcp Server
Prysm MCP Server is a web scraping tool designed for AI assistants, enabling them to extract web content with high accuracy and flexibility through various extraction modes.
Use cases
Use cases include scraping product information for e-commerce, gathering data for research purposes, extracting content for AI training, and integrating with applications like Claude and Cursor for enhanced functionality.
How to use
To use Prysm MCP Server, you can install it via npm, either as an LLM-optimized version or a standard version. Configuration is done through a ‘mcp.json’ file, where you can specify server settings and commands.
Key features
Key features include multiple scraping modes (focused, balanced, deep), content analysis for optimal scraping strategies, flexible output formats (markdown, HTML, JSON), image extraction capabilities, smart scrolling for single-page applications, responsive design, and the ability to save results to a specified directory.
Where to use
Prysm MCP Server can be used in various fields such as web development, data analysis, and AI assistant integration, where accurate and flexible web content extraction is required.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Prysm Mcp Server
Prysm MCP Server is a web scraping tool designed for AI assistants, enabling them to extract web content with high accuracy and flexibility through various extraction modes.
Use cases
Use cases include scraping product information for e-commerce, gathering data for research purposes, extracting content for AI training, and integrating with applications like Claude and Cursor for enhanced functionality.
How to use
To use Prysm MCP Server, you can install it via npm, either as an LLM-optimized version or a standard version. Configuration is done through a ‘mcp.json’ file, where you can specify server settings and commands.
Key features
Key features include multiple scraping modes (focused, balanced, deep), content analysis for optimal scraping strategies, flexible output formats (markdown, HTML, JSON), image extraction capabilities, smart scrolling for single-page applications, responsive design, and the ability to save results to a specified directory.
Where to use
Prysm MCP Server can be used in various fields such as web development, data analysis, and AI assistant integration, where accurate and flexible web content extraction is required.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
🔍 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:
- Cursor Integration Guide
- Claude Desktop Integration Guide
- Windsurf Integration Guide
- Cline Integration Guide
- Roo Code Integration Guide
- Open WebUI Integration Guide
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 scrapemaxScrolls(optional): Maximum number of scroll attempts (default: 5)scrollDelay(optional): Delay between scrolls in ms (default: 1000)scrapeImages(optional): Whether to include images in resultsdownloadImages(optional): Whether to download images locallymaxImages(optional): Maximum images to extractoutput(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
scrapeFocusedwith different defaults maxScrollsdefault: 10scrollDelaydefault: 2000- Adds
timeoutparameter 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
scrapeFocusedwith different defaults maxScrollsdefault: 20scrollDelaydefault: 3000maxImagesdefault: 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 formatformat(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:
- 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"
$env:PRYSM_IMAGE_OUTPUT_DIR="C:\path\to\custom\image\directory"
- Tool Parameter: Specify output paths directly when calling the tools:
# For general results Format the scraped data as markdown and save it to "/absolute/path/to/file.md" # For image downloads when scraping Please scrape https://example.com and download images to "/absolute/path/to/images"
- MCP Configuration: In your MCP configuration file (e.g.,
.cursor/mcp.json), you can set these environment variables:
{
"mcpServers": {
"prysm-scraper": {
"command": "npx",
"args": [
"-y",
"@pinkpixel/prysm-mcp"
],
"env": {
"PRYSM_OUTPUT_DIR": "${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
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










