The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the GrabzIt MCP Server listing page.
The official Model Context Protocol (MCP) server for GrabzIt. This server allows AI assistants (like Claude, Cursor, and Windsurf) to dynamically capture website screenshots, generate PDF and DOCX documents, and scrape web data directly within your AI environment.
This server is published on npm and can be executed instantly without installation using npx.
You will need a GrabzIt Application Key and Secret, which you can get by creating an account at GrabzIt.
Add the following configuration to your MCP-compatible client (e.g., claude_desktop_config.json). Replace <YOUR_APP_KEY> and <YOUR_APP_SECRET> with your actual GrabzIt credentials.
The server requires the following environment variables to authenticate with the GrabzIt API:
GRABZIT_APP_KEY - Your GrabzIt Application Key.GRABZIT_APP_SECRET - Your GrabzIt Application Secret.grabzit_inspect_url
Captures a screenshot of a URL and returns it as an image that the AI can view directly in context. Supports full page captures, rendering delays for SPAs, element cropping via CSS selectors, and element stripping.grabzit_scrape_html
Extracts fully-rendered HTML from a target URL after JavaScript execution completes. Supports custom rendering delays.grabzit_convert_url
Converts a target URL to an image (png, jpg, svg, tiff), PDF, or DOCX document. Supports page orientation, paper sizing, element cropping/stripping, and rendering delays.grabzit_convert_html
Converts raw HTML string content into an image (png, jpg, svg, tiff), PDF, or DOCX document. Supports page orientation, paper sizing, element cropping/stripping, and rendering delays.Once connected, you can ask your AI client prompts like:
This project is open-source and available under the ISC License.
This MCP server acts as a secure bridge between your local AI environment and the GrabzIt API.
GRABZIT_APP_KEY and GRABZIT_APP_SECRET remain stored locally on your machine.