Integrate real-time Scrapeless Google SERP(Google Search, Google Flight, Google Map, Google Jobs....) results into your LLM applications. This server enables dynamic context retrieval for AI workflows, chatbots, and research tools.
Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. MCP provides a standardized way to connect LLM with the required context, helping you efficiently enhance chat interfaces, build AI-driven IDEs, or create custom AI workflows.
Seamlessly integrate real-time Google SERP(Google Search, Google Flight, Google Map, Google Jobs....) results into your LLM applications using the Scrapeless MCP server. This server acts as a bridge between LLMs (like ChatGPT, Claude, etc.) and Scrapeless's Google SERP, enabling dynamic context retrieval for AI workflows, chatbots, and research tools.
👉 Live MCP Endpoint:
📦 NPM Package: scrapeless-mcp-server
This project provides several MCP servers that enable AI assistants like Claude to perform various search operations and retrieve data from:
google-search
query
(required): Parameter defines the query you want to search. You can use anything that you would use in a regular Google search. e.g. inurl:, site:, intitle:.gl
(optional, default: "us"): Parameter defines the country to use for the Google search. It's a two-letter country code. (e.g., us for the United States, uk for United Kingdom, or fr for France).hl
(optional, default: "en"): Parameter defines the language to use for the Google search. It's a two-letter language code. (e.g., en for English, es for Spanish, or fr for French).{
"mcpServers": {
"scrapelessMcpServer": {
"command": "npx",
"args": ["-y", "scrapeless-mcp-server"],
"env": {
"SCRAPELESS_KEY": "YOUR_SCRAPELESS_KEY"
}
}
}
}
Here are some examples of how to use these servers with Claude Desktop:
Please search for "climate change solutions" and summarize the top results.
git clone https://github.com/scrapeless-ai/scrapeless-mcp-server.git
cd scrapeless-mcp-server
npm install
npm run build
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