scrapeless MCP Server

Use This MCP server To

Integrate live Google Search results into chatbot responses Fetch real-time Google Flights data for travel planning apps Embed Google Maps data dynamically in AI-driven interfaces Retrieve current Google Jobs listings for recruitment tools Enhance AI research tools with up-to-date web search context Provide dynamic context updates in AI-powered IDEs Enable multi-source data fusion with Google SERP in LLM workflows

README

Scrapeless Mcp Server

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

Overview

This project provides several MCP servers that enable AI assistants like Claude to perform various search operations and retrieve data from:

Google Search

Tools

1. Search Tool

Name: google-search
Description: Search the web using Scrapeless
Parameters:
- 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).

Setup Guide

1. Get Scrapeless Key

2. Configure

{
  "mcpServers": {
    "scrapelessMcpServer": {
      "command": "npx",
      "args": ["-y", "scrapeless-mcp-server"],
      "env": {
        "SCRAPELESS_KEY": "YOUR_SCRAPELESS_KEY"
      }
    }
  }
}

Example Queries

Here are some examples of how to use these servers with Claude Desktop:

Google Search

Please search for "climate change solutions" and summarize the top results.

Installation

Prerequisites

Node.js 22 or higher
NPM or Yarn

Install from Source

Clone the repository:

git clone https://github.com/scrapeless-ai/scrapeless-mcp-server.git
cd scrapeless-mcp-server

Install dependencies:

npm install

Build the server:

npm run build

Community

MCP Server Discord

scrapeless-mcp-server FAQ

How do I install the Scrapeless MCP Server?

You can install it via npm using 'npm install scrapeless-mcp-server' and configure it according to the documentation.

Can Scrapeless MCP Server work with multiple LLM providers?

Yes, it supports integration with various LLMs like OpenAI's GPT, Anthropic's Claude, and Google Gemini by providing standardized context data.

How does Scrapeless MCP Server handle real-time data updates?

It fetches live Google SERP data on demand, ensuring your LLM applications receive the most current information.

Is the Scrapeless MCP Server secure for production use?

Yes, it follows MCP principles for secure, scoped, and observable interactions, suitable for production environments.

Can I customize which Google SERP data types are retrieved?

Yes, you can configure the server to fetch specific data types like Search, Flights, Maps, or Jobs based on your application needs.

Where can I access the live Scrapeless MCP Server endpoint?

Live endpoints are available at mcp.so and glama.ai for immediate integration and testing.

Does Scrapeless MCP Server support caching to improve performance?

The server can be configured with caching layers to optimize repeated queries and reduce latency.