Websearch

Created By

mnhlt9 months ago

Overview

what is WebSearch-MCP?

WebSearch-MCP is a Model Context Protocol (MCP) server that provides web search capabilities to AI assistants, allowing them to retrieve real-time information from the web.

how to use WebSearch-MCP?

To use WebSearch-MCP, install it via npm or use it without installation. Configure the server with the necessary environment variables and set up a crawler service to perform web searches.

key features of WebSearch-MCP?

Real-time web search capabilities for AI assistants.
Integration with a Crawler API for retrieving search results.
Customizable configuration through environment variables.

use cases of WebSearch-MCP?

Enabling AI assistants to provide up-to-date information on various topics.
Integrating with applications that require real-time search functionalities.
Supporting research and data retrieval tasks in AI-driven projects.

FAQ from WebSearch-MCP?

How do I set up the crawler service?

You can set up the crawler service using Docker Compose with the provided configuration.

Can I customize the search results?

Yes! You can customize the maximum number of search results and other parameters through environment variables.

Is WebSearch-MCP suitable for production use?

Yes, with proper configuration and setup, WebSearch-MCP can be used in production environments.

Server Config

{
  "mcpServers": {
    "websearch": {
      "command": "npx",
      "args": [
        "websearch-mcp"
      ],
      "environment": {
        "API_URL": "http://localhost:3001",
        "MAX_SEARCH_RESULT": "5"
      }
    }
  }
}

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