MCP Screenshot Website Fast
A web page screenshot tool optimized for AI vision workflows, automatically splitting into 1072x1072 pixels to meet the processing requirements of the Claude Vision API
rating : 2 points
downloads : 3.4K
What is the MCP Screenshot Website Tool?
This is a screenshot tool specifically designed for AI vision workflows. It can automatically split a full web page into blocks of 1072x1072 pixels for optimal processing by AI models. It ensures that screenshots are perfectly adapted to the Claude Vision API and other AI models.How to use the MCP Screenshot Website Tool?
After installation, you can use the tool directly through the command line or an integrated development environment (IDE) to capture screenshots of web pages. Simply provide the URL and relevant parameters to generate high-quality screenshots.Applicable Scenarios
Suitable for scenarios where image data needs to be prepared for AI models, such as content analysis, web page understanding, and automated testing. Particularly suitable for AI vision tasks that require processing full web pages.Main Features
Fast Screenshot
Use the Puppeteer headless browser to quickly capture screenshots of web pages
Claude Vision Optimization
Automatically limit the resolution to 1072x1072 pixels, suitable for AI model processing
Automatic Blocking
Automatically split the full page into 1072x1072 blocks for easy AI processing
Latest Content
No caching, ensuring that each capture is the latest web page content
Configurable Viewport
Supports adjusting the viewport size for responsive testing
Waiting Strategy
Supports strategies such as network idle to ensure that dynamic content is fully loaded
Full Page Capture
Capture the entire page by default to obtain a complete web page screenshot
Minimal Dependencies
Lightweight dependencies, fast npm installation
MCP Integration
Seamlessly integrate with AI development tools to improve work efficiency
Advantages
Designed specifically for AI vision, improving model processing efficiency
The automatic blocking function simplifies the processing of complex web pages
Ensures that each screenshot is the latest content
Easy to integrate into the development environment
Limitations
Requires a Node.js and Chrome/Chromium environment
May require additional configuration for some complex web pages
Cannot handle web pages that require authentication
How to Use
Install the Tool
Install the MCP Screenshot Website Tool in your development environment. You can install it via npm or directly integrate it into your IDE.
Configure the Tool
Configure the tool according to your needs. You can set parameters such as viewport size and waiting strategy.
Capture a Screenshot
After running the command, the tool will automatically capture a screenshot of the specified web page and save it to the specified path.
Usage Examples
Web Page Content Analysis
Use the MCP Screenshot Website Tool to capture a screenshot of a web page, then input it into an AI model for content analysis.
Responsive Testing
Test the display effect of a web page on different devices by adjusting the viewport size.
Dynamic Content Capture
Use the waiting strategy to ensure that dynamically loaded content is fully loaded before capturing a screenshot.
Frequently Asked Questions
What environment do I need to use this tool?
How to solve the Puppeteer download problem?
How to improve the screenshot quality?
What should I do if I encounter a timeout error?
Related Resources
Official Documentation
View detailed documentation and installation instructions
GitHub Repository
Code repository and project information
Video Tutorial
Video tutorial on how to use the MCP Screenshot Website Tool

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
24.9K
5 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
15.6K
4.5 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
17.1K
4.3 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
49.9K
4.3 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
22.3K
5 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
49.1K
4.5 points

Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
17.0K
4.5 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
69.6K
4.7 points
