Scrapegraph MCP

Name: Scrapegraph MCP
Author: ScrapeGraphAI

by ScrapeGraphAIversion 1.0.1i★ –iRuns on your computer

Registry nameio.github.ScrapeGraphAI/scrapegraph-mcp

Install

Overview

Description from the maker (original English)

AI-powered web scraping and data extraction capabilities through ScrapeGraph API

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Web & browsers
You need to fill in: SGAI_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: SGAI_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "scrapegraph": {
      "command": "uvx",
      "args": [
        "scrapegraph-mcp"
      ],
      "env": {
        "SGAI_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add scrapegraph --env SGAI_API_KEY=your-value -- uvx scrapegraph-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "scrapegraph": {
      "command": "uvx",
      "args": [
        "scrapegraph-mcp"
      ],
      "env": {
        "SGAI_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "scrapegraph": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "scrapegraph-mcp"
      ],
      "env": {
        "SGAI_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

SGAI_API_KEY secret env
Your ScapeGraph API key (optional - can also be set via MCP config)

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account ScrapeGraphAI, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Web & browsersi

More stars than 0% of the other 876 servers in this category
Published to the registry more recently than 2% of the other 876 servers in this category
Basic checks equal to or better than 100% of the other 876 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Scrapegraph MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: SGAI_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 9 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Browser Use, Chrome DevTools MCP, MCP Server Browser

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Browser Use

by browser-use

Lets AI do web tasks for you, such as filling forms, searching and extracting data, in the maker’s cloud browsers or on your computer.

Computer or cloud★ 120,087MITUpdated 16 days ago

Install

Chrome DevTools MCP

by ChromeDevTools

Lets AI use Chrome’s developer tools to inspect pages, find what makes them slow and spot errors. Made by the Chrome DevTools team.

Runs on your computer★ 54,821Apache-2.0Updated 15 days ago

Install

MCP Server Browser

by bytedance

MCP server for browser use access

Runs on your computer★ 39,550Apache-2.0Updated 14 months ago

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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.

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.

v2 (old)	v3 (new)
`smartscraper`	`extract`
`searchscraper`	`search`
`smartcrawler_initiate`	`crawl_start`
`smartcrawler_fetch_results`	`crawl_get_status`
`sgai_history`	`history`
`generate_schema`	`schema`
`markdownify`	removed — use `scrape` with `output_format="markdown"`

Quick Start

1. Get Your API Key

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

Tool	Role
`scrape`	POST /scrape (`output_format`: markdown, html, screenshot, branding, links, images, summary)
`extract`	POST /extract (requires `website_url` + `user_prompt`; optional `output_schema`)
`search`	POST /search (`num_results` 1–20; supports `country_search`, `time_range`, `output_schema`)
`crawl_start`	POST /crawl — `extraction_mode` markdown / html / links / images / summary / branding / screenshot
`crawl_get_status`	GET /crawl/:id (poll until `status: completed`)
`crawl_stop`, `crawl_resume`	POST /crawl/:id/stop \	resume
`schema`	POST /schema (generate or augment a JSON Schema from a prompt)
`credits`	GET /credits
`history`	GET /history (paginated, `service` filter)
`monitor_create`, `monitor_list`, `monitor_get`, `monitor_pause`, `monitor_resume`, `monitor_delete`	/monitor API
`monitor_activity`	GET /monitor/:id/activity (paginated tick history: `id`, `createdAt`, `status`, `changed`, `elapsedMs`, `diffs`)

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:

Navigate to the ScrapeGraph Dashboard
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

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

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

cd scrapegraph-mcp

Install the package:

# Using pip

pip install -e .

Or using uv (faster)

uv pip install -e .

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-api-key-here"}

Troubleshooting Local Setup

Server not starting:

Verify Python is installed: python --version
Check that the package is installed: pip list | grep scrapegraph-mcp
Ensure API key is set: echo $SGAI_API_KEY (macOS/Linux) or echo %SGAI_API_KEY% (Windows)

Tools not appearing:

Check Claude Desktop logs:
macOS: ~/Library/Logs/Claude/
Windows: %APPDATA%\Claude\Logs\
Verify the server starts without errors when run directly
Check that the configuration JSON is valid

Import errors:

Reinstall the package: pip install -e . --force-reinstall
Verify dependencies: pip install -r requirements.txt (if available)

Google ADK Integration

The ScrapeGraph MCP server can be integrated with Google ADK (Agent Development Kit) to create AI agents with web scraping capabilities.

Prerequisites

Python 3.13 or higher
Google ADK installed
ScrapeGraph API key

Installation

Install Google ADK (if not already installed):

pip install google-adk

Set your API key:

export SGAI_API_KEY=your-api-key-here

Basic Integration Example

Create an agent file (e.g., agent.py) with the following configuration:

import os

from google.adk.agents import LlmAgent from google.adk.tools.mcp_tool.mcp_toolset import MCPToolset from google.adk.tools.mcp_tool.mcp_session_manager import StdioConnectionParams from mcp import StdioServerParameters

Path to the scrapegraph-mcp server directory

SCRAPEGRAPH_MCP_PATH = "/path/to/scrapegraph-mcp"

Path to the server.py file

SERVER_SCRIPT_PATH = os.path.join( SCRAPEGRAPH_MCP_PATH, "src", "scrapegraph_mcp", "server.py" )

root_agent = LlmAgent( model='gemini-2.0-flash', name='scrapegraph_assistant_agent', instruction='Help the user with web scraping and data extraction using ScrapeGraph AI. ' 'You can convert webpages to markdown, extract structur

Only the beginning is shown; read the rest in the repo

Scrapegraph MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Web & browsersi

Common questions

Alternatives

Browser Use

Chrome DevTools MCP

MCP Server Browser

README from the maker

ScrapeGraph MCP Server

Table of Contents

API v2

Key Features

Migration: v2 → v3

Quick Start

1. Get Your API Key

2. Install with Smithery (Recommended)

3. Start Using

Available Tools

Setup Instructions

Automated Installation via Smithery

Claude Desktop Configuration

Cursor Integration

Remote Server Usage

Claude Desktop Configuration (Remote)

Cursor Configuration (Remote)

Benefits of Remote Server

Local Usage

Prerequisites

Installation

Or using uv (faster)

Windows (PowerShell)

Windows (CMD)

Running the Server Locally

Or using Python module

Testing with MCP Inspector

Configuring Claude Desktop for Local Server

Configuring Cursor for Local Server

Troubleshooting Local Setup

Google ADK Integration

Prerequisites

Installation

Basic Integration Example

Path to the scrapegraph-mcp server directory

Path to the server.py file