Websearch Tools
W

Websearch Tools

WebSearch is an advanced web search and content extraction tool based on Python and the Firecrawl API, providing functions such as intelligent search, content scraping, and web crawling, and supporting MCP protocol integration.
2.5 points
7.4K

What is the WebSearch MCP Server?

The WebSearch MCP Server is a tool based on the Model Context Protocol (MCP), designed to help users efficiently obtain information on the web through advanced search and content extraction. It integrates multiple functions, such as intelligent search, web page scraping, content parsing, and data export.

How to use the WebSearch MCP Server?

Using the WebSearch MCP Server is very simple. First, install the required dependencies, then set the necessary API keys, and finally run the server to start using its provided functions.

Applicable Scenarios

Suitable for scenarios that require rapid retrieval of Internet data, analysis of web page content, or batch downloading of specific information, such as market research, data analysis, or academic research.

Main Features

Advanced Search
Perform a deep web search based on the input keywords and return detailed search results.
Content Extraction
Extract the required information from a specified list of URLs, supporting natural language instructions.
Web Crawler
Recursively crawl the target website, supporting the setting of maximum depth and page limits.
Web Page Scraping
Extract structured data from a single web page and support the screenshot function.
Advantages
Powerful and diverse functions, supporting various task requirements.
Integrates multiple APIs, such as Firecrawl and OpenAI, to enhance search and analysis capabilities.
Easy to configure, suitable for users with different technical levels.
Open - source and free, facilitating secondary development and customization.
Limitations
Some advanced functions may require additional API key support.
For large - scale crawler tasks, stronger hardware support may be required.
Relies on external API services, and network conditions may affect performance.

How to Use

Install Dependencies
Ensure that Python 3.8 or a higher version is installed, and synchronize the dependencies through the uv package manager.
Configure Environment Variables
Create a.env file and add the Firecrawl and OpenAI API keys.
Start the Server
Run the main script to start the WebSearch MCP Server.

Usage Examples

Search Example
Search for relevant materials about 'Artificial Intelligence'.
Content Extraction Example
Extract contact information from a company's official website.

Frequently Asked Questions

How to obtain the API keys for Firecrawl and OpenAI?
Why are the search results sometimes inaccurate?

Related Resources

WebSearch GitHub Repository
View the source code and contribute to the project.
Firecrawl Official Documentation
Learn more about the usage of the Firecrawl API.
OpenAI Official Platform
Register and obtain the OpenAI API key.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "websearch": {
      "command": "uv",
      "args": [
        "--directory",
        "D:\\ABSOLUTE\\PATH\\TO\\WebSearch",
        "run",
        "main.py"
      ]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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