Watercrawl Mcp

Name: Watercrawl Mcp
Author: watercrawl

@watercrawl

Repository

About Watercrawl Mcp

No overview available yet

#watercrawl #mcp #web-crawling

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

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

Overview

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

FAQ from Watercrawl Mcp

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.

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.

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.

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.