GrabzIt MCP Server
Official# GrabzIt MCP Server
The official Model Context Protocol (MCP) server for [GrabzIt](https://grabz.it/). 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.
## 🚀 Quick Start
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](https://grabz.it/api/).
### Configuration
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.
```json
{
"mcpServers": {
"grabzit": {
"command": "npx",
"args": [
"-y",
"@grabzit/mcp-server"
],
"env": {
"GRABZIT_APP_KEY": "<YOUR_APP_KEY>",
"GRABZIT_APP_SECRET": "<YOUR_APP_SECRET>"
}
}
}
}
```
## 🛠️ Environment Variables
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.
## Tools
* **`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.
## 📝 Usage Examples
Once connected, you can ask your AI client prompts like:
* *"Inspect https://news.ycombinator.com using GrabzIt and tell me what you see in the screenshot."*
* *"Scrape the rendered HTML of https://example.com after waiting 2000ms for dynamic content to load."*
* *"Convert https://example.com into an A4 PDF in landscape orientation using GrabzIt."*
* *"Take this HTML string invoice and convert it into a downloadable DOCX document."*
## 📄 License
This project is open-source and available under the ISC License.
## 🔒 Privacy Policy
This MCP server acts as a secure bridge between your local AI environment and the GrabzIt API.
* Your `GRABZIT_APP_KEY` and `GRABZIT_APP_SECRET` remain stored locally on your machine.
* Any URLs or HTML data processed through this server are governed by the official [GrabzIt Privacy Policy](https://grabz.it/legal/privacy-policy/).
TDQS
Scored across 4 tools
The tools are mostly distinct: scrape_html extracts HTML, inspect_url captures a screenshot, and convert_url/convert_html convert to Image/PDF/DOCX. However, convert_url to image and inspect_url both produce images, which could cause minor confusion in tool selection.
All tool names follow a consistent grabzit_<verb>_<object> pattern (scrape_html, inspect_url, convert_url, convert_html). The verbs and objects are uniform, making the naming highly predictable.
With only 4 tools, the server is well-scoped for a web scraping and conversion service. Each tool covers a distinct conversion or extraction need without unnecessary bloat.
The tool set covers key operations: HTML scraping, URL inspection, and conversion from both URL and raw HTML. Minor gaps exist such as no explicit text extraction or batch processing, but the core workflow for the domain is well-covered.