WebSearch-MCP
@mnhlt
About WebSearch-MCP
[Self-hosted] A Model Context Protocol (MCP) server implementation that provides a web search capability over stdio transport. This server integrates with a WebSearch Crawler API to retrieve search results.
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"websearch": {
"command": "npx",
"args": [
"websearch-mcp"
],
"environment": {
"API_URL": "http://localhost:3001",
"MAX_SEARCH_RESULT": "5"
}
}
}
}Tools
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Overview
What is WebSearch-MCP?
WebSearch-MCP is a Model Context Protocol server that provides web search capabilities to AI assistants. It integrates with a WebSearch Crawler API to retrieve real-time search results and communicates with AI models over stdio transport.
How to use WebSearch-MCP?
Install the server via Smithery or npm, then run npx websearch-mcp. Configure the crawler API endpoint and maximum results via the API_URL and MAX_SEARCH_RESULT environment variables. The server exposes a web_search tool that can be called from any MCP-compatible client.
Key features of WebSearch-MCP
- Provides a
web_searchtool with customizable parameters. - Supports filtering by language, region, domain inclusion/exclusion.
- Returns structured results (title, snippet, URL, site name, byline).
- Uses stdio transport for MCP communication.
- Configurable via environment variables (
API_URL,MAX_SEARCH_RESULT). - Integrates with a Docker-based crawler service using Flaresolverr.
Use cases of WebSearch-MCP
- AI assistants can search the web in real-time during conversations.
- Obtain up-to-date information on topics like trends, news
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