A Model Context Protocol (MCP) server implementation that provides real-time web search capabilities through a simple API
A Model Context Protocol (MCP) server implementation that provides real-time web search capabilities through a simple API.
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.
WebSearch-MCP is a Model Context Protocol server that provides web search capabilities to AI assistants that support MCP. It allows AI models like Claude to search the web in real-time, retrieving up-to-date information about any topic.
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{
"mcpServers": {
"websearch": {
"command": "cmd",
"args": [
"/c",
"npx",
"websearch-mcp"
],
"environment": {
"API_URL": "http://localhost:3001",
"MAX_SEARCH_RESULT": "1"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
Retrieve public web pages as readable Markdown with the reference Fetch MCP server, including pagination for longer responses.
Use Firecrawl MCP to retrieve website content and extract information for research through Firecrawl’s API-backed web tools.
A short demonstration of how you can build your own MCP Server!
Ask before you fetch: will this domain serve your crawler, refuse it, or charge it?
Google Search, Shopping, Jobs, and YouTube tools backed by SearchApi.io
Inspect a site's AI-search readiness: AI crawler access, llms.txt, schema markup, meta directives