MCP cover image
See in Github
2025-04-11

无刮MCP服务器

0

Github Watches

1

Github Forks

3

Github Stars

preview

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

  1. Register at Scrapeless
  2. Get your free trial
  3. Generate API 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

  1. Clone the repository:
git clone https://github.com/scrapeless-ai/scrapeless-mcp-server.git
cd scrapeless-mcp-server
  1. Install dependencies:
npm install
  1. Build the server:
npm run build

Community

相关推荐

  • NiKole Maxwell
  • I craft unique cereal names, stories, and ridiculously cute Cereal Baby images.

  • https://suefel.com
  • Latest advice and best practices for custom GPT development.

  • Yusuf Emre Yeşilyurt
  • I find academic articles and books for research and literature reviews.

  • https://maiplestudio.com
  • Find Exhibitors, Speakers and more

  • Carlos Ferrin
  • Encuentra películas y series en plataformas de streaming.

  • Joshua Armstrong
  • Confidential guide on numerology and astrology, based of GG33 Public information

  • Emmet Halm
  • Converts Figma frames into front-end code for various mobile frameworks.

  • Alexandru Strujac
  • Efficient thumbnail creator for YouTube videos

  • Elijah Ng Shi Yi
  • Advanced software engineer GPT that excels through nailing the basics.

  • lumpenspace
  • Take an adjectivised noun, and create images making it progressively more adjective!

  • Lists Tailwind CSS classes in monospaced font

  • https://appia.in
  • Siri Shortcut Finder – your go-to place for discovering amazing Siri Shortcuts with ease

  • apappascs
  • 发现市场上最全面,最新的MCP服务器集合。该存储库充当集中式枢纽,提供了广泛的开源和专有MCP服务器目录,并提供功能,文档链接和贡献者。

  • ShrimpingIt
  • MCP系列GPIO Expander的基于Micropython I2C的操作,源自ADAFRUIT_MCP230XX

  • modelcontextprotocol
  • 模型上下文协议服务器

  • jae-jae
  • MCP服务器使用剧作《无头浏览器》获取网页内容。

  • ravitemer
  • 一个功能强大的Neovim插件,用于管理MCP(模型上下文协议)服务器

    Reviews

    4 (1)
    Avatar
    user_WG4Gfp8B
    2025-04-16

    Scrapeless-mcp-server is an incredible tool! Easy to set up and highly efficient, it has streamlined my workflow significantly. The documentation is clear and the community support from scrapeless-ai is fantastic. Whether you're new to MCP applications or an experienced user, this server is a game-changer. Highly recommend checking it out!