Google Search

by renoscriptdev

1 stars

456 downloads

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GitHub

About

Provides Google Custom Search functionality for web searches, returning structured results including titles, links, and snippets without leaving the conversation interface.

Details

Author: renoscriptdev
Repository: renoscriptdev/mcp-google-scholar-dev
GitHub stars: 1
Downloads: 456
Categories: Productivity, Developer Tools, Design, AI, Search, API, Knowledge Base, Infrastructure

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below
Plugin Name Google Search

Command (node, npx, python, etc.) mcp
Arguments
- Argument 1 run
- Argument 2 google_search_mcp_server.py
Environment
- GOOGLE_CSE_ID your_custom_search_engine_id
- GOOGLE_API_KEY your_google_api_key
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "google search": {
            "env": {
                "GOOGLE_CSE_ID": "your_custom_search_engine_id",
                "GOOGLE_API_KEY": "your_google_api_key"
            },
            "args": [
                "run",
                "google_search_mcp_server.py"
            ],
            "command": "mcp"
        }
    }
}

JSON

{
    "mcpServers": {
        "google search": {
            "env": {
                "GOOGLE_CSE_ID": "your_custom_search_engine_id",
                "GOOGLE_API_KEY": "your_google_api_key"
            },
            "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"
            ],
            "shell": true,
            "command": "wsl.exe"
        }
    }
}

JSON

{
    "mcpServers": {
        "google search": {
            "env": {
                "GOOGLE_CSE_ID": "your_custom_search_engine_id",
                "GOOGLE_API_KEY": "your_google_api_key"
            },
            "args": [
                "run",
                "google_search_mcp_server.py"
            ],
            "command": "mcp"
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "google search": {
            "env": {
                "GOOGLE_CSE_ID": "your_custom_search_engine_id",
                "GOOGLE_API_KEY": "your_google_api_key"
            },
            "args": [
                "run",
                "google_search_mcp_server.py"
            ],
            "command": "mcp"
        }
    }
}

JSON

{
    "mcpServers": {
        "google search": {
            "env": {
                "GOOGLE_CSE_ID": "your_custom_search_engine_id",
                "GOOGLE_API_KEY": "your_google_api_key"
            },
            "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"
            ],
            "shell": true,
            "command": "wsl.exe"
        }
    }
}

JSON

{
    "mcpServers": {
        "google search": {
            "env": {
                "GOOGLE_CSE_ID": "your_custom_search_engine_id",
                "GOOGLE_API_KEY": "your_google_api_key"
            },
            "args": [
                "run",
                "google_search_mcp_server.py"
            ],
            "command": "mcp"
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "google search": {
            "env": {
                "GOOGLE_CSE_ID": "your_custom_search_engine_id",
                "GOOGLE_API_KEY": "your_google_api_key"
            },
            "args": [
                "run",
                "google_search_mcp_server.py"
            ],
            "command": "mcp"
        }
    }
}

JSON

{
    "mcpServers": {
        "google search": {
            "env": {
                "GOOGLE_CSE_ID": "your_custom_search_engine_id",
                "GOOGLE_API_KEY": "your_google_api_key"
            },
            "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"
            ],
            "shell": true,
            "command": "wsl.exe"
        }
    }
}

JSON

{
    "mcpServers": {
        "google search": {
            "env": {
                "GOOGLE_CSE_ID": "your_custom_search_engine_id",
                "GOOGLE_API_KEY": "your_google_api_key"
            },
            "args": [
                "run",
                "google_search_mcp_server.py"
            ],
            "command": "mcp"
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "google search": {
            "env": {
                "GOOGLE_CSE_ID": "your_custom_search_engine_id",
                "GOOGLE_API_KEY": "your_google_api_key"
            },
            "args": [
                "run",
                "google_search_mcp_server.py"
            ],
            "command": "mcp"
        }
    }
}

JSON

{
    "mcpServers": {
        "google search": {
            "env": {
                "GOOGLE_CSE_ID": "your_custom_search_engine_id",
                "GOOGLE_API_KEY": "your_google_api_key"
            },
            "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"
            ],
            "shell": true,
            "command": "wsl.exe"
        }
    }
}

JSON

{
    "mcpServers": {
        "google search": {
            "env": {
                "GOOGLE_CSE_ID": "your_custom_search_engine_id",
                "GOOGLE_API_KEY": "your_google_api_key"
            },
            "args": [
                "run",
                "google_search_mcp_server.py"
            ],
            "command": "mcp"
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "google search": {
            "env": {
                "GOOGLE_CSE_ID": "your_custom_search_engine_id",
                "GOOGLE_API_KEY": "your_google_api_key"
            },
            "args": [
                "run",
                "google_search_mcp_server.py"
            ],
            "command": "mcp"
        }
    }
}

JSON

{
    "mcpServers": {
        "google search": {
            "env": {
                "GOOGLE_CSE_ID": "your_custom_search_engine_id",
                "GOOGLE_API_KEY": "your_google_api_key"
            },
            "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"
            ],
            "shell": true,
            "command": "wsl.exe"
        }
    }
}

JSON

{
    "mcpServers": {
        "google search": {
            "env": {
                "GOOGLE_CSE_ID": "your_custom_search_engine_id",
                "GOOGLE_API_KEY": "your_google_api_key"
            },
            "args": [
                "run",
                "google_search_mcp_server.py"
            ],
            "command": "mcp"
        }
    }
}

From the repository

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"
            ]
        },

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

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

1. Clone the repository:

git clone https://github.com/gradusnikov/google-search-mpc-server.git

cd google-search-mpc-server

2. Install dependencies:

pip install fastmcp google-api-python-client python-dotenv

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "google search": {
            "env": {
                "GOOGLE_CSE_ID": "your_custom_search_engine_id",
                "GOOGLE_API_KEY": "your_google_api_key"
            },
            "args": [
                "run",
                "google_search_mcp_server.py"
            ],
            "command": "mcp"
        }
    }
}

Linux

{
    "env": {
        "GOOGLE_CSE_ID": "your_custom_search_engine_id",
        "GOOGLE_API_KEY": "your_google_api_key"
    },
    "args": [
        "run",
        "google_search_mcp_server.py"
    ],
    "command": "mcp"
}

Macos

{
    "env": {
        "GOOGLE_CSE_ID": "your_custom_search_engine_id",
        "GOOGLE_API_KEY": "your_google_api_key"
    },
    "args": [
        "run",
        "google_search_mcp_server.py"
    ],
    "command": "mcp"
}

Windows

{
    "env": {
        "GOOGLE_CSE_ID": "your_custom_search_engine_id",
        "GOOGLE_API_KEY": "your_google_api_key"
    },
    "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"
    ],
    "shell": true,
    "command": "wsl.exe"
}

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

2. 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"
            ]
        },

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Details

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

Linux

Macos

Windows

Google Search MCP Server

Installation

Installing via Smithery

Manual Installation

Configuration

Usage

Install

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