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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

Supported Transport Protocols

Stdio default: The transport runs locally on your machine and communicates via standard input/output streams.
Streamable HTTP --mode=streamable_http: The new MCP transport protocol that simplifies client-server communication through a single HTTP endpoint

Tools

Browser Tools

browser_goto Navigate browser to a specified URL.
browser_go_back Go back one step in browser history.
browser_go_forward Go forward one step in browser history.
browser_click Click a specific element on the page.
browser_type Type text into a specified input field.
browser_wait_for Wait for a specific page element to appear.
browser_wait Pause execution for a fixed duration.
browser_screenshot Capture a screenshot of the current page.
browser_get_html Get the full HTML of the current page.
browser_get_text Get all visible text from the current page.
browser_scroll Scroll to the bottom of the page.
browser_scroll_to Scroll a specific element into view.

Universal Tools

scrape_html Scrape a URL and return its full HTML content.
scrape_markdown Scrape a URL and return its content as Markdown.
scrape_screenshot Capture a high-quality screenshot of any webpage.

Deep SerpAPI Tools

google_search universal information search engine.retrieves any data information.explanatory queries (why, how).comparative analysis requests.
google_scholar Search for academic papers on Google Scholar.
google_flights Exclusive flight information query tool.
google_trends Get trending search data from Google Trends.

Setup Guide

1. Get Scrapeless Key

2. Configure

Stdio

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

Streamable

Run locally

npx scrapeless-mcp-server --mode=streamable_http --SCRAPELESS_KEY=YOUR_SCRAPELESS_KEY

Add mcp configuration

{
  "mcpServers": {
    "Scrapeless MCP Server": {
      "type": "streamable-http",
      "url": "http://127.0.0.1:9593/mcp",
      "disabled": false
    }
  }
}

Example Queries

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

browser

Use a browser to visit chatgpt.com, search for "What's the weather like today?", and summarize the results.

scrape_html

Scrape the html content of scrapeless.com page

scrape_markdown

Scrape the markdown content of scrapeless.com page

scrape_screenshot

Get screenshots of scrapeless.com

google_flights

Please help me with my flight ticket from Chicago to New York on November 20, 2025

google_scholar

Find papers by "Yoshua Bengio" on deep learning

google_search

Search scrapeless by google search

google_trends

Find the search interest for "AI" over the last year

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-ai/scrapeless-mcp-server

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