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"
}
}
}
}