Google Custom Search MCP

by fbettag

271 downloads

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GitHub

Description

# Google Custom Search MCP Server An async Python MCP (Model Context Protocol) server that provides access to Google Custom Search API using service account authentication. ## Features - **google_search**: Perform Google Custom Search queries with configurable result count -…

About

Details

Author: fbettag
Downloads: 271
Categories: Search, API

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 Custom Search MCP

Command (node, npx, python, etc.)

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 custom search mcp": {
            "google-search": {
                "command": "uv",
                "args": [
                    "run",
                    "path/to/your/clone/of/google-custom-search-mcp"
                ],
                "env": {
                    "GOOGLE_SERVICE_ACCOUNT_FILE": "/path/to/your/service-account-key.json",
                    "GOOGLE_SEARCH_ENGINE_ID": "your-search-engine-id"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "google custom search mcp": {
            "google-search": {
                "command": "uv",
                "args": [
                    "run",
                    "path/to/your/clone/of/google-custom-search-mcp"
                ],
                "env": {
                    "GOOGLE_SERVICE_ACCOUNT_FILE": "/path/to/your/service-account-key.json",
                    "GOOGLE_SEARCH_ENGINE_ID": "your-search-engine-id"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "google custom search mcp": {
            "google-search": {
                "command": "uv",
                "args": [
                    "run",
                    "path/to/your/clone/of/google-custom-search-mcp"
                ],
                "env": {
                    "GOOGLE_SERVICE_ACCOUNT_FILE": "/path/to/your/service-account-key.json",
                    "GOOGLE_SEARCH_ENGINE_ID": "your-search-engine-id"
                }
            }
        }
    }
}

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 custom search mcp": {
            "google-search": {
                "command": "uv",
                "args": [
                    "run",
                    "path/to/your/clone/of/google-custom-search-mcp"
                ],
                "env": {
                    "GOOGLE_SERVICE_ACCOUNT_FILE": "/path/to/your/service-account-key.json",
                    "GOOGLE_SEARCH_ENGINE_ID": "your-search-engine-id"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "google custom search mcp": {
            "google-search": {
                "command": "uv",
                "args": [
                    "run",
                    "path/to/your/clone/of/google-custom-search-mcp"
                ],
                "env": {
                    "GOOGLE_SERVICE_ACCOUNT_FILE": "/path/to/your/service-account-key.json",
                    "GOOGLE_SEARCH_ENGINE_ID": "your-search-engine-id"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "google custom search mcp": {
            "google-search": {
                "command": "uv",
                "args": [
                    "run",
                    "path/to/your/clone/of/google-custom-search-mcp"
                ],
                "env": {
                    "GOOGLE_SERVICE_ACCOUNT_FILE": "/path/to/your/service-account-key.json",
                    "GOOGLE_SEARCH_ENGINE_ID": "your-search-engine-id"
                }
            }
        }
    }
}

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 custom search mcp": {
            "google-search": {
                "command": "uv",
                "args": [
                    "run",
                    "path/to/your/clone/of/google-custom-search-mcp"
                ],
                "env": {
                    "GOOGLE_SERVICE_ACCOUNT_FILE": "/path/to/your/service-account-key.json",
                    "GOOGLE_SEARCH_ENGINE_ID": "your-search-engine-id"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "google custom search mcp": {
            "google-search": {
                "command": "uv",
                "args": [
                    "run",
                    "path/to/your/clone/of/google-custom-search-mcp"
                ],
                "env": {
                    "GOOGLE_SERVICE_ACCOUNT_FILE": "/path/to/your/service-account-key.json",
                    "GOOGLE_SEARCH_ENGINE_ID": "your-search-engine-id"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "google custom search mcp": {
            "google-search": {
                "command": "uv",
                "args": [
                    "run",
                    "path/to/your/clone/of/google-custom-search-mcp"
                ],
                "env": {
                    "GOOGLE_SERVICE_ACCOUNT_FILE": "/path/to/your/service-account-key.json",
                    "GOOGLE_SEARCH_ENGINE_ID": "your-search-engine-id"
                }
            }
        }
    }
}

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 custom search mcp": {
            "google-search": {
                "command": "uv",
                "args": [
                    "run",
                    "path/to/your/clone/of/google-custom-search-mcp"
                ],
                "env": {
                    "GOOGLE_SERVICE_ACCOUNT_FILE": "/path/to/your/service-account-key.json",
                    "GOOGLE_SEARCH_ENGINE_ID": "your-search-engine-id"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "google custom search mcp": {
            "google-search": {
                "command": "uv",
                "args": [
                    "run",
                    "path/to/your/clone/of/google-custom-search-mcp"
                ],
                "env": {
                    "GOOGLE_SERVICE_ACCOUNT_FILE": "/path/to/your/service-account-key.json",
                    "GOOGLE_SEARCH_ENGINE_ID": "your-search-engine-id"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "google custom search mcp": {
            "google-search": {
                "command": "uv",
                "args": [
                    "run",
                    "path/to/your/clone/of/google-custom-search-mcp"
                ],
                "env": {
                    "GOOGLE_SERVICE_ACCOUNT_FILE": "/path/to/your/service-account-key.json",
                    "GOOGLE_SEARCH_ENGINE_ID": "your-search-engine-id"
                }
            }
        }
    }
}

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 custom search mcp": {
            "google-search": {
                "command": "uv",
                "args": [
                    "run",
                    "path/to/your/clone/of/google-custom-search-mcp"
                ],
                "env": {
                    "GOOGLE_SERVICE_ACCOUNT_FILE": "/path/to/your/service-account-key.json",
                    "GOOGLE_SEARCH_ENGINE_ID": "your-search-engine-id"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "google custom search mcp": {
            "google-search": {
                "command": "uv",
                "args": [
                    "run",
                    "path/to/your/clone/of/google-custom-search-mcp"
                ],
                "env": {
                    "GOOGLE_SERVICE_ACCOUNT_FILE": "/path/to/your/service-account-key.json",
                    "GOOGLE_SEARCH_ENGINE_ID": "your-search-engine-id"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "google custom search mcp": {
            "google-search": {
                "command": "uv",
                "args": [
                    "run",
                    "path/to/your/clone/of/google-custom-search-mcp"
                ],
                "env": {
                    "GOOGLE_SERVICE_ACCOUNT_FILE": "/path/to/your/service-account-key.json",
                    "GOOGLE_SEARCH_ENGINE_ID": "your-search-engine-id"
                }
            }
        }
    }
}

From the repository

Clone the repository, configure a Google Service Account and Custom Search Engine, then run uv run google-custom-search-mcp with the required environment variables GOOGLE_SERVICE_ACCOUNT_FILE or GOOGLE_SERVICE_ACCOUNT_BASE64 and GOOGLE_SEARCH_ENGINE_ID. The server supports STDIO mode (default) and HTTP mode (via --transport http). Docker and Helm deployments are available.

Claude Desktop / Cursor

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

{
    "mcpServers": {
        "google custom search mcp": {
            "google-search": {
                "command": "uv",
                "args": [
                    "run",
                    "path/to/your/clone/of/google-custom-search-mcp"
                ],
                "env": {
                    "GOOGLE_SERVICE_ACCOUNT_FILE": "/path/to/your/service-account-key.json",
                    "GOOGLE_SEARCH_ENGINE_ID": "your-search-engine-id"
                }
            }
        }
    }
}

McpServers

{
    "google-search": {
        "command": "uv",
        "args": [
            "run",
            "path/to/your/clone/of/google-custom-search-mcp"
        ],
        "env": {
            "GOOGLE_SERVICE_ACCOUNT_FILE": "/path/to/your/service-account-key.json",
            "GOOGLE_SEARCH_ENGINE_ID": "your-search-engine-id"
        }
    }
}

Google Custom Search MCP Server

An async Python MCP (Model Context Protocol) server that provides access to Google Custom Search API using service account authentication.

Features

- google_search: Perform Google Custom Search queries with configurable result count
- Service Account Auth: Uses Google Service Account authentication (required since API keys are deprecated)
- Dual Authentication Support: File path for local dev, base64 for CI/CD
- Live Integration Tests: Real tests against Google Custom Search API
- FastMCP Integration: Uses the latest FastMCP Python SDK
- Docker Support: Alpine Linux-based Docker image for minimal footprint
- UV Compatibility: Modern Python packaging with UV

Quick Start

Prerequisites

1. Google Service Account: Create a service account in Google Cloud Console
2. Custom Search Engine ID: Create a Custom Search Engine at Programmable Search Engine
3. Enable Custom Search API: Enable the API for your Google Cloud project

Installation

```bash

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Description

About

Details

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

Google Custom Search MCP Server

Features

Quick Start

Prerequisites

Installation

Install

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