ScrapeGraph MCP Server

A production-ready Model Context Protocol (MCP) server that provides seamless integration with the ScrapeGraph AI API. This server enables language models to leverage advanced AI-powered web scraping capabilities with enterprise-grade reliability.

Table of Contents

• Key Features
• Quick Start
• Available Tools
• Setup Instructions
• Remote Server Usage
• Local Usage
• Google ADK Integration
• Example Use Cases
• Error Handling
• Common Issues
• Development
• Contributing
• Documentation
• Technology Stack
• License

API v2

This MCP server targets ScrapeGraph API v2 (https://v2-api.scrapegraphai.com/api), aligned 1:1 with scrapegraph-py PR #84. Auth uses the SGAI-APIKEY header. Environment variables mirror the Python SDK:

• SGAI_API_URL — override the base URL (default https://v2-api.scrapegraphai.com/api)
• SGAI_TIMEOUT — request timeout in seconds (default 120)
• SGAI_API_KEY — API key (can also be passed via MCP scrapegraphApiKey or X-API-Key header)

Legacy aliases (still honored): SCRAPEGRAPH_API_BASE_URL for SGAI_API_URL, SGAI_TIMEOUT_S for SGAI_TIMEOUT.

Key Features

• Scrape & extract: scrape (POST /scrape, multi-format), extract (POST /extract, URL + prompt)
• Search: search (POST /search; num_results clamped 3–20)
• Crawl: Async multi-page crawl with crawl_start / crawl_get_status / crawl_stop / crawl_resume
• Schema: schema (POST /schema) — generate or augment a JSON Schema from a prompt
• Monitors: Scheduled jobs via monitor_create, monitor_list, monitor_get, pause/resume/delete, monitor_activity (paginated tick history)
• Account: credits, history
• Easy integration: Claude Desktop, Cursor, Smithery, HTTP transport
• Developer docs: .agent/ folder

Migration: v2 → v3

v3 renames every MCP tool that diverged from the v2 API docs. Hard rename, no aliases.

Quick Start

1. Get Your API Key

Sign up and get your API key from the ScrapeGraph Dashboard

2. Install with Smithery (Recommended)

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

3. Start Using

Ask Claude or Cursor:

• "Convert https://scrapegraphai.com to markdown"
• "Extract all product prices from this e-commerce page"
• "Research the latest AI developments and summarize findings"

That's it! The server is now available to your AI assistant.

Available Tools

Removed: sitemap, agentic_scrapper, async-status polling, and (in v3) markdownify — use scrape with output_format="markdown".

Setup Instructions

To utilize this server, you'll need a ScrapeGraph API key. Follow these steps to obtain one:

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

Automated Installation via Smithery

For automated installation of 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 (located on the top rigth of the Cursor page):

(remember to add your API key inside the config)

{
    "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 on the settings:

Remote Server Usage

Connect to our hosted MCP server - no local installation required!

[!WARNING] The legacy MCP endpoint at https://mcp.scrapegraphai.com/mcp will be deprecated soon. New integrations should use the replacement MCP endpoint: https://sgai-mcp-main.onrender.com.

Claude Desktop Configuration (Remote)

Add this to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "scrapegraph-mcp": {
      "command": "npx",
      "args": [
        "mcp-remote@0.1.25",
        "https://sgai-mcp-main.onrender.com",
        "--header",
        "X-API-Key:YOUR_API_KEY"
      ]
    }
  }
}

Cursor Configuration (Remote)

Cursor supports native HTTP MCP connections. Add to your Cursor MCP settings (~/.cursor/mcp.json):

{
  "mcpServers": {
    "scrapegraph-mcp": {
      "url": "https://sgai-mcp-main.onrender.com",
      "headers": {
        "X-API-Key": "YOUR_API_KEY"
      }
    }
  }
}

Benefits of Remote Server

• No local setup - Just configure and start using
• Always up-to-date - Automatically receives latest updates
• Cross-platform - Works on any OS with Node.js

Local Usage

To run the MCP server locally for development or testing, follow these steps:

Prerequisites

• Python 3.13 or higher
• pip or uv package manager
• ScrapeGraph API key

Installation

1. Clone the repository (if you haven't already):

git clone https://github.com/ScrapeGraphAI/scrapegraph-mcp
cd scrapegraph-mcp

2. Install the package:

# Using pip
pip install -e .

# Or using uv (faster)
uv pip install -e .

3. Set your API key:

# macOS/Linux
export SGAI_API_KEY=your-api-key-here

# Windows (PowerShell)
$env:SGAI_API_KEY="your-api-key-here"

# Windows (CMD)
set SGAI_API_KEY=your-api-key-here

Running the Server Locally

You can run the server directly:

# Using the installed command
scrapegraph-mcp

# Or using Python module
python -m scrapegraph_mcp.server

The server will start and communicate via stdio (standard input/output), which is the standard MCP transport method.

Testing with MCP Inspector

Test your local server using the MCP Inspector tool:

npx @modelcontextprotocol/inspector python -m scrapegraph_mcp.server

This provides a web interface to test all available tools interactively.

Configuring Claude Desktop for Local Server

To use your locally running server with Claude Desktop, update your configuration file:

macOS/Linux (~/Library/Application Support/Claude/claude_desktop_config.json):

{
    "mcpServers": {
        "scrapegraph-mcp-local": {
            "command": "python",
            "args": [
                "-m",
                "scrapegraph_mcp.server"
            ],
            "env": {
                "SGAI_API_KEY": "your-api-key-here"
            }
        }
    }
}

Windows (%APPDATA%\Claude\claude_desktop_config.json):

{
    "mcpServers": {
        "scrapegraph-mcp-local": {
            "command": "python",
            "args": [
                "-m",
                "scrapegraph_mcp.server"
            ],
            "env": {
                "SGAI_API_KEY": "your-api-key-here"
            }
        }
    }
}

Note: Make sure Python is in your PATH. You can verify by running python --version in your terminal.

Configuring Cursor for Local Server

In Cursor's MCP settings, add a new server with:

• Command: python
• Args: ["-m", "scrapegraph_mcp.server"]
• Environment Variables: `{"SGAI_API_KEY": "your-