S
ScrapeGraphAI/scrapegraph-mcp
ScapeGraph MCP Server
View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
Install & config
Remote endpoint (mcpServers - Claude Desktop / Cursor / Windsurf)
{
"mcpServers": {
"scrapegraphai-scrapegraph-mcp": {
"url": "https://server.smithery.ai/@ScrapeGraphAI/scrapegraph-mcp/mcp"
}
}
}Paste this into the mcpServers config of Claude Desktop or Cursor. The endpoint comes from public evidence; we do not install or host it. Official Registry record: this endpoint declares a required request header Authorization (Bearer token for Smithery authentication). Using it means bringing your own credentials.
VS Code (.vscode/mcp.json - the key is servers, remote needs type: http)
{
"servers": {
"scrapegraphai-scrapegraph-mcp": {
"type": "http",
"url": "https://server.smithery.ai/@ScrapeGraphAI/scrapegraph-mcp/mcp"
}
}
}VS Code differs from the other three: the top-level key is <code>servers</code> and a remote endpoint also needs <code>"type": "http"</code>. Paste into .vscode/mcp.json.
Claude Code (command line)
claude mcp add --transport http scrapegraphai-scrapegraph-mcp https://server.smithery.ai/@ScrapeGraphAI/scrapegraph-mcp/mcp
Claude Code does not read a config file; add the server with this command.
Client config (built from the install command this repo gives)
{
"mcpServers": {
"scrapegraphai-scrapegraph-mcp": {
"command": "npx",
"args": ["-y", "@smithery/cli"]
}
}
}Parsed from the README we fetched on 2026-11-07; we have not executed it.
command/args come from the install command the repository states. When it is ambiguous, the project README wins.
VS Code (.vscode/mcp.json - the key is servers)
{
"servers": {
"scrapegraphai-scrapegraph-mcp": {
"command": "npx",
"args": ["-y", "@smithery/cli"]
}
}
}Same server, but VS Code keeps it under <code>servers</code>.
Claude Code (command line)
claude mcp add --transport stdio scrapegraphai-scrapegraph-mcp -- npx -y @smithery/cli
Claude Code does not read a config file; add the server with this command.
Key names differ by client: Clients & CLI
- Source
- collected from the abordage/awesome-mcp list · type: MCP server
- Harvest history
- first seen 2026-11-05 · last seen 2026-11-14 · seen 10× · listed by 10 sources
- Score
- score 1,003 · 10 sources · mcp
- Install
npx -y @smithery/cli
FAQ (answers come from our records)
How do I install it?
The repository provides this install command:
npx -y @smithery/cli. It comes from the repository itself; we cannot guarantee it runs as-is in your client.Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
first catalogued 2026-11-05;last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.
# ScrapeGraph MCP Server
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
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.
| 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
Sign up and get your API key from the ScrapeGraph Dashboard
### 2. Install with Smithery (Recommended)
bash
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 |
## 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.
| 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
Sign up and get your API key from the ScrapeGraph Dashboard
### 2. Install with Smithery (Recommended)
bash
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 |
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