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Google Search MCP Server

by renoscriptdev
GitHub
Python
1
  • Linux
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Google Search MCP Server

A Model Context Protocol (MCP) server that provides Google Custom Search functionality.

Installation

Installing via Smithery

To install google-search-mcp-server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @gradusnikov/google-search-mcp-server --client claude

Manual Installation

  1. Clone the repository:
git clone https://github.com/gradusnikov/google-search-mpc-server.git cd google-search-mpc-server
  1. Install dependencies:
pip install fastmcp google-api-python-client python-dotenv

Configuration

Create a .env file in the project root with the following variables:

GOOGLE_API_KEY=your_google_api_key GOOGLE_CSE_ID=your_custom_search_engine_id

To obtain these credentials:

  1. Create a Google Cloud project and enable the Custom Search API
  2. Generate an API key from the Google Cloud Console
  3. Create a Custom Search Engine at https://cse.google.com/cse/all and get its ID

Usage

Start the server using MCP:

mcp run google_search_mcp_server.py

or add the server to Claude Desktop app CLAUDE_DIRECTORY/claude_desktop_config.json. For example if you are using Windows Subsystem for Linux (WSL) it may look like this:

"google-search": { "command": "wsl.exe", "args": [ "bash", "-c", "source /home/[user]/anaconda3/etc/profile.d/conda.sh && conda activate mcp && /home/[user]/anaconda3/bin/mcp run /home/[user]/google-search-mpc-server/google_search_mcp_server.py" ] },

This server cannot be installed

-
security - not tested
F
license - not found
-
quality - not tested

How are these scores calculated?

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

Claude가 Google 검색 API에 연결하여 Google 맞춤 검색 작업을 수행할 수 있도록 하는 모델 컨텍스트 프로토콜 서버입니다.

  1. 설치
    1. Smithery를 통해 설치
    2. 수동 설치
  2. 구성
    1. 용법

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