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Watercrawl MCP Server

@watercrawl

基本情報

カテゴリ

その他

トランスポート

stdio

作者

watercrawl

投稿者

Amir Mohsen Asaran Ghomi

Watercrawl MCP Server について

概要はまだありません

Watercrawl MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "watercrawl": {
      "command": "npx",
      "args": [
        "@watercrawl/mcp",
        "--api-key",
        "YOUR_API_KEY",
        "--base-url",
        "https://app.watercrawl.dev"
      ]
    }
  }
}

Watercrawl MCP Server のツール

6

Scrape a URL with optional configuration for page options, and more

Search for information using configurable options for language, country, time range, and depth

Download the sitemap from a crawl request in different formats (JSON, graph, or markdown)

Manage crawl requests: list, get details, stop, or download results

Manage search requests: list, get details, or stop running searches

Monitor a crawl or search request in real-time, with timeout control

概要

What is Watercrawl Mcp?

A Model Context Protocol server that provides AI systems with web crawling, scraping, and search capabilities through a standardized interface, built on the WaterCrawl platform.

How to use Watercrawl Mcp?

Use npx @watercrawl/mcp --api-key YOUR_API_KEY to run without installation. Configure via environment variables or command-line options. Integrate with AI assistants like Codeium/Windsurf (JSON configuration) or Claude Desktop (SSE mode).

Key features of Watercrawl Mcp

  • Run directly with npx, no installation required
  • Integrates with Codeium/Windsurf and Claude Desktop
  • Offers six MCP tools for web data operations
  • Scrapes web pages with customizable options
  • Performs web searches with depth and time range filters
  • Monitors crawl and search requests in real time

Use cases of Watercrawl Mcp

  • AI agents scraping web content with fine‑grained control
  • Performing deep web searches with language/country preferences
  • Managing and monitoring multiple crawl or search requests
  • Generating sitemaps from crawl results in JSON, graph, or markdown
  • Automating data extraction for AI‑powered workflows

よくある質問

1

What is the purpose of Watercrawl Mcp?

It provides AI systems with web crawling, scraping, and search capabilities through the Model Context Protocol, using WaterCrawl as the backend service.

2

What are the runtime requirements?

Node.js is required. The server can run via npx without installation, or be installed globally with `npm install -g @watercrawl/mcp`.

3

Where does scraped data reside?

The server acts as a client to the WaterCrawl API; fetched data is returned to the AI assistant and is not persistently stored by the server itself.

4

What transports and authentication are supported?

By default, it uses stdio transport. SSE mode is available for Claude Desktop. Authentication requires a WaterCrawl API key, supplied via `--api-key` or the `WATERCRAWL_API_KEY` environment variable.

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