Watercrawl MCP
WaterCrawl MCP is a model context protocol server provided for the WaterCrawl platform, which provides web crawling, content scraping, and search functions for AI systems through a standardized interface.
rating : 2.5 points
downloads : 5.4K
What is WaterCrawl MCP?
WaterCrawl MCP is a server based on the Model Context Protocol (MCP), specifically designed to provide web data collection capabilities for AI assistants. It acts as a bridge between AI systems and WaterCrawl's web crawling services, enabling AI to easily access web content, perform searches, and download data. Through this MCP server, AI assistants can: • Automatically extract text content from any web page • Perform web searches and obtain search results • Manage crawling tasks and monitor progress • Download data results in different formats It is particularly suitable for AI application scenarios that require real-time web information access.How to use WaterCrawl MCP?
Using WaterCrawl MCP is very simple, mainly in three ways: 1. **Quick start**: Run directly using the npx command without installation 2. **AI assistant integration**: Configure it into AI tools such as Codeium, Windsurf, or Claude Desktop 3. **Development integration**: Run as an independent server for other applications to call Basic usage steps: 1. Obtain a WaterCrawl API key 2. Start the MCP server through the command line or configuration file 3. Configure the connection in the AI tool 4. Start using various crawling and search functionsApplicable scenarios
WaterCrawl MCP is particularly suitable for the following scenarios: • **AI research assistant**: Helps researchers quickly collect web materials and literature • **Content creation AI**: Provides real-time web information and data for writing assistants • **Business intelligence AI**: Collects market data, competitor information, and industry trends • **Educational assistant**: Obtains the latest educational resources and learning materials • **Technical support AI**: Accesses the latest technical documents and solutions • **News analysis AI**: Collects and analyzes multi-source news content Any application that requires an AI system to access real-time web information can benefit from WaterCrawl MCP.Main features
Intelligent web crawling
Extract structured content from any web page, supporting advanced options such as excluding specific tags, waiting for page loading, and accepting cookies. Can extract plain text, HTML, or specific tag content.
Web search integration
Perform web searches through WaterCrawl, supporting various search options such as language, country, time range, and search depth settings.
Task management
Comprehensively manage crawling and search tasks, including listing tasks, viewing details, stopping running tasks, and downloading results.
Real-time monitoring
Monitor the progress of crawling or search tasks in real-time, supporting timeout control and automatic downloading of completed results.
Multi-format output
Supports multiple output formats, including JSON, graphical structures, and Markdown, to meet different usage needs.
Zero-installation usage
Run directly using npx without installing any dependencies, simplifying the deployment and usage process.
Advantages
No need to write crawler code: AI assistants can directly use natural language instructions to obtain web data
Simple configuration: Start with one click using npx without a complex installation process
Comprehensive functions: Covers the complete workflow of web crawling, searching, and task management
Standardized interface: Based on the MCP protocol, compatible with various AI assistants and development tools
Real-time monitoring: Provides task progress monitoring and real-time status feedback
Flexible output formats: Supports multiple data formats such as JSON and Markdown
Limitations
Dependent on WaterCrawl services: Requires a valid API key and service availability
Network dependency: Requires a stable network connection to access the target website and WaterCrawl services
Anti-crawler restrictions: Some websites may have anti-crawler mechanisms, affecting data acquisition
API call limitations: May be restricted by the WaterCrawl API call frequency and quota
Learning cost: Requires understanding of basic configuration and parameter settings
How to use
Obtain an API key
Visit the WaterCrawl official website to register an account and obtain an API key. This is a prerequisite for using all functions.
Quick start (recommended)
Run WaterCrawl MCP directly using the npx command without installing any software packages.
Configure the AI assistant
According to the AI assistant you are using (such as Codeium, Claude Desktop, etc.), add the WaterCrawl MCP server settings to the configuration file.
Start using
Restart the AI assistant. Now you can use various functions of WaterCrawl through natural language instructions.
Usage examples
Academic research data collection
Researchers need to collect the latest papers and research results in an academic field.
Competitor website analysis
Market analysts need to monitor the latest developments and product updates on competitor websites.
News content aggregation
Content creators need to collect reports on a specific topic from multiple news sources.
Technical documentation update tracking
Development teams need to track documentation updates for multiple open-source projects.
Frequently Asked Questions
Is WaterCrawl MCP free?
Which AI assistants are supported?
What is the crawling speed?
How to handle websites that require login?
Where is the data stored? Is it secure?
What should I do if I encounter an 'Invalid API key' error?
Related resources
WaterCrawl official website
The main website of WaterCrawl services, providing registration, API key acquisition, and service documentation
GitHub repository
Source code and issue tracking for WaterCrawl MCP
Model Context Protocol documentation
Official specification and documentation for the MCP protocol
FastMCP framework
Documentation for the FastMCP framework on which WaterCrawl MCP is based
Claude Desktop configuration guide
Detailed guide on how to configure the MCP server in Claude Desktop

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