ScapeGraph MCP server

ScrapeGraph MCP is a production-ready server that implements the Model Context Protocol to provide language models with AI-powered web scraping capabilities. It enables seamless integration with the ScapeGraph AI API for transforming webpages to markdown, extracting structured data, and performing intelligent web searches.

Available Tools

The server provides three enterprise-ready tools:

• markdownify(website_url: str): Transform any webpage into clean, structured markdown format
• smartscraper(user_prompt: str, website_url: str): Leverage AI to extract structured data from any webpage
• searchscraper(user_prompt: str): Execute AI-powered web searches with structured, actionable results

Setup Instructions

To use this server, you need a ScapeGraph API key:

1. Navigate to the ScapeGraph Dashboard
2. Create an account and generate your API key

Automated Installation via Smithery

Install the ScrapeGraph API Integration Server using Smithery:

npx -y @smithery/cli install @ScrapeGraphAI/scrapegraph-mcp --client claude

Claude Desktop Configuration

Update your Claude Desktop configuration file with the following settings:

{
    "mcpServers": {
        "@ScrapeGraphAI-scrapegraph-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "@smithery/cli@latest",
                "run",
                "@ScrapeGraphAI/scrapegraph-mcp",
                "--config",
                "\"{\\\"scrapegraphApiKey\\\":\\\"YOUR-SGAI-API-KEY\\\"}\""
            ]
        }
    }
}

The configuration file is located at:

• Windows: %APPDATA%/Claude/claude_desktop_config.json
• macOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json

Cursor Integration

Add the ScrapeGraphAI MCP server in the Cursor settings.

Example Use Cases

The server enables sophisticated queries such as:

• "Analyze and extract the main features of the ScapeGraph API"
• "Generate a structured markdown version of the ScapeGraph homepage"
• "Extract and analyze pricing information from the ScapeGraph website"
• "Research and summarize recent developments in AI-powered web scraping"
• "Create a comprehensive summary of the Python documentation website"

Error Handling

The server provides detailed, actionable error messages for:

• API authentication issues
• Malformed URL structures
• Network connectivity failures
• Rate limiting and quota management

Common Issues

Windows-Specific Connection

When running on Windows systems, use the following command to connect to the MCP server:

C:\Windows\System32\cmd.exe /c npx -y @smithery/cli@latest run @ScrapeGraphAI/scrapegraph-mcp --config "{\"scrapegraphApiKey\":\"YOUR-SGAI-API-KEY\"}"

This ensures proper execution in the Windows environment.

How to add this MCP server to Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "cursor-rules-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "cursor-rules-mcp"
            ]
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.