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ScrapeGraphAI/scrapegraph-mcp

ScapeGraph MCP Server

装之前:没有可直接复制的命令 · 许可证未标注 · 链接可访问

第一步:npx -y @smithery/cli install @ScrapeGraphAI/scrapegraph-mcp --client claude

在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
安装与配置
远端端点(Claude Desktop / Cursor / Windsurf 共用 mcpServers)
{
  "mcpServers": {
    "scrapegraphai-scrapegraph-mcp": {
      "url": "https://server.smithery.ai/@ScrapeGraphAI/scrapegraph-mcp/mcp"
    }
  }
}
把这段粘进 Claude Desktop / Cursor 的 mcpServers 配置即可。端点来自公开证据,我们没有替你安装或托管它。 官方 Registry 记录:这个端点列了【必填】请求头 Authorization(Bearer token for Smithery authentication)。用它要带上你自己的凭据。
VS Code(.vscode/mcp.json —— 键名是 servers,远程要 type: http)
{
  "servers": {
    "scrapegraphai-scrapegraph-mcp": {
      "type": "http",
      "url": "https://server.smithery.ai/@ScrapeGraphAI/scrapegraph-mcp/mcp"
    }
  }
}
VS Code 的配置文件和另外三家不同:顶层键是 <code>servers</code>,远程端点还要写 <code>"type": "http"</code>。复制到 .vscode/mcp.json。
Claude Code(命令行)
claude mcp add --transport http scrapegraphai-scrapegraph-mcp https://server.smithery.ai/@ScrapeGraphAI/scrapegraph-mcp/mcp
Claude Code 不收 JSON 文件,用这条命令直接加。
客户端配置(取自该仓库的安装命令)
{
  "mcpServers": {
    "scrapegraphai-scrapegraph-mcp": {
      "command": "npx",
      "args": ["-y", "@smithery/cli"]
    }
  }
}

解析自我们于 2026-11-07 抓取的该仓库 README;我们未执行过。

command/args 来自仓库写明的安装命令;不确定时请以该项目 README 为准。
VS Code(.vscode/mcp.json —— 键名是 servers)
{
  "servers": {
    "scrapegraphai-scrapegraph-mcp": {
      "command": "npx",
      "args": ["-y", "@smithery/cli"]
    }
  }
}
VS Code 顶层键是 <code>servers</code>,其余与上面那份相同。
Claude Code(命令行)
claude mcp add --transport stdio scrapegraphai-scrapegraph-mcp -- npx -y @smithery/cli
Claude Code 不收 JSON 文件,用这条命令直接加。
配置项的键名以你的客户端为准:客户端与 CLI
来源明细
收录自 abordage/awesome-mcp 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-11-05 · 最近见到 2026-11-14 · 共见到 10 次 · 被 10 个来源列出
评分构成
综合分 1,003 · 10 个来源 · mcp
安装
npx -y @smithery/cli
常见问题(答案都来自我们的记录)
怎么安装?
该仓库给出的安装命令是 npx -y @smithery/cli。我们的记录里它是仓库自己提供的;不保证在你的客户端上直接可用。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
我们收录于 2026-11-05;最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。

# 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 |
收录徽章(可选)
想把收录标记放进 README 就复制这行,可选,不影响收录。
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来源
awesome · https://github.com/ScrapeGraphAI/scrapegraph-mcp
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