About Skrape MCP Server
Skrape MCP Server converts webpages into structured Markdown for LLMs, for users of Claude Desktop and other MCP clients. It can clean page content, render JavaScript, and return JSON.
Key features
- 01Convert webpages to Markdown
- 02Remove ads and navigation
- 03Render dynamic JavaScript pages
- 04Optionally return JSON
Use cases
- 01Prepare webpage content for LLMs
- 02Scrape JavaScript-rendered pages
MCP support
It exposes a `get_markdown` tool for MCP clients to submit URLs and receive cleaned Markdown or JSON.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMESkrape MCP Server
Convert webpages into clean, LLM-ready Markdown using skrape.ai. An MCP server that seamlessly integrates web scraping with Claude Desktop and other MCP-compatible applications.
Key Features
- Clean Output: Removes ads, navigation, and irrelevant content
- JavaScript Support: Handles dynamic content rendering
- LLM-Optimized: Structured Markdown perfect for AI consumption
- Consistent Format: Uniform structure regardless of source
Features
Tools
get_markdown- Convert any webpage to LLM-ready Markdown- Takes any input URL and optional parameters
- Returns clean, structured Markdown optimized for LLM consumption
- Supports JavaScript rendering for dynamic content
- Optional JSON response format for advanced integrations
Installation
Installing via Smithery
To install Skrape MCP Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @skrapeai/skrape-mcp --client claude
Manual Installation
-
Get your API key from skrape.ai
-
Install dependencies:
npm install
- Build the server:
npm run build
- Add the server config to Claude Desktop:
On MacOS:
nano ~/Library/Application\ Support/Claude/claude_desktop_config.json
On Windows:
notepad %APPDATA%/Claude/claude_desktop_config.json
Add this configuration (replace paths and API key with your values):
{
"mcpServers": {
"skrape": {
"command": "node",
"args": ["path/to/skrape-mcp/build/index.js"],
"env": {
"SKRAPE_API_KEY": "your-key-here"
}
}
}
}
Using with LLMs
Here's how to use the server with Claude or other LLM models:
- First, ensure the server is properly configured in your LLM application
- Then, you can ask the ALLMI to fetch and process any webpage:
Convert this webpage to markdown: https://example.com
Claude will use the MCP tool like this:
<use_mcp_tool>
<server_name>skrape</server_name>
<tool_name>get_markdown</tool_name>
<arguments>
{
"url": "https://example.com",
"options": {
"renderJs": true
}
}
</arguments>
</use_mcp_tool>
The resulting Markdown will be clean, structured, and ready for LLM processing.
Advanced Options
The get_markdown tool accepts these parameters:
url(required): Any webpage URL to convertreturnJson(optional): Set totrueto get the full JSON response instead of just markdownoptions(optional): Additional scraping optionsrenderJs: Whether to render JavaScript before scraping (default: true)
Example with all options:
<use_mcp_tool>
<server_name>skrape</server_name>
<tool_name>get_markdown</tool_name>
<arguments>
{
"url": "https://example.com",
"returnJson": true,
"options": {
"renderJs": false
}
}
</arguments>
</use_mcp_tool>
Development
For development with auto-rebuild:
npm run watch
Debugging
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector:
npm run inspector
The Inspector will provide a URL to access debugging tools in your browser.
Comments
New to MCP?
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