Google Analytics

by eno-graph

7 stars

420 downloads

Not rated

GitHub

About

Integrates with Google Analytics 4 to enable data retrieval and analysis through configurable metrics, dimensions, and date ranges for marketing insights

Details

Author: eno-graph
GitHub stars: 7
Downloads: 420
Categories: Cloud Service, Other, Marketing, Design, Developer Tools, AI, Infrastructure, API, Frontend, Security, Search

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 Analytics

Command (node, npx, python, etc.) npx
Arguments
- Argument 1 -y
- Argument 2 @highlight/mcp-server
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 analytics": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "google analytics": {
            "env": {},
            "args": [
                "/c",
                "npx",
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "google analytics": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

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 analytics": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "google analytics": {
            "env": {},
            "args": [
                "/c",
                "npx",
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "google analytics": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

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 analytics": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "google analytics": {
            "env": {},
            "args": [
                "/c",
                "npx",
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "google analytics": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

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 analytics": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "google analytics": {
            "env": {},
            "args": [
                "/c",
                "npx",
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "google analytics": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

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 analytics": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "google analytics": {
            "env": {},
            "args": [
                "/c",
                "npx",
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "google analytics": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

From the repository

Clone the repository, run npm install and npm build, then set the environment variables GOOGLE_CLIENT_EMAIL, GOOGLE_PRIVATE_KEY, and GA_PROPERTY_ID. Start the server with npm start or ./run-server.sh, or configure it as an MCP server in Claude Desktop by adding the command and environment variables to the configuration file.

Claude Desktop / Cursor

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

{
    "mcpServers": {
        "google analytics": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

Linux

{
    "env": [],
    "args": [
        "-y",
        "@highlight/mcp-server"
    ],
    "command": "npx"
}

Macos

{
    "env": [],
    "args": [
        "-y",
        "@highlight/mcp-server"
    ],
    "command": "npx"
}

Windows

{
    "env": [],
    "args": [
        "/c",
        "npx",
        "-y",
        "@highlight/mcp-server"
    ],
    "command": "cmd"
}

# Google Analytics Data API MCP Server Model Context Protocol (MCP) サーバーを使用して、Google Analytics Data APIにアクセスするためのインターフェースを提供します。 ## 機能このMCPサーバーは、Google Analytics Data APIの主要な機能にアクセスするためのツールとリソースを提供します： ### ツール - **get_report**: 指定した日付範囲、メトリクス、ディメンションに基づいてレポートを取得します - **get_realtime_data**: リアルタイムデータを取得します ### リソース - **ga4://property/{propertyId}/metadata**: Google Analyticsプロパティのメタデータにアクセスします ## セットアップ ### 前提条件 1. Google Cloudプロジェクトを作成し、Analytics Data APIを有効にします 2. サービスアカウントを作成し、認証情報JSONファイルをダウンロードします 3. サービスアカウントにGA4プロパティへの適切なアクセス権を付与します詳細なセットアップ手順については、[セットアップガイド](docs/setup-guide.md)を参照してください。 ### インストール ```bash # リポジトリをクローン git clone https://github.com/eno-graph/mcp-server-google-analytics.git cd mcp-server-google-analytics # 依存関係をインストール npm install # ビルド npm run build ``` ### 環境変数の設定以下の環境変数を設定する必要があります： ```bash export GOOGLE_CLIENT_EMAIL="your-service-account@project.iam.gserviceaccount.com" export GOOGLE_PRIVATE_KEY="your-private-key" export GA_PROPERTY_ID="your-ga4-property-id" ``` ## 使用方法 ### サーバーの起動 ```bash npm start ``` または、提供されているスクリプトを使用することもできます： ```bash ./run-server.sh ``` ### Claude Desktopでの設定 Claude Desktopの設定ファイルに以下を追加します： ```json { "mcpServers": { "google-analytics": { "command": "node", "args": ["/path/to/mcp-server-google-analytics/build/index.js"], "env": { "GOOGLE_CLIENT_EMAIL": "your-service-account@project.iam.gserviceaccount.com", "GOOGLE_PRIVATE_KEY": "your-private-key", "GA_PROPERTY_ID": "your-ga4-property-id" } } } } ``` 詳細な設定例については、[claude-desktop-config-sample.json](claude-desktop-config-sample.json)を参照してください。 ## ツールの使用例 ### レポートの取得 ``` get_report ツールを使用して、過去7日間のアクティブユーザー数とページビュー数を取得します。引数: { "startDate": "7daysAgo", "endDate": "today", "metrics": ["activeUsers", "screenPageViews"], "dimensions": ["date"], "limit": 10 } ``` ### リアルタイムデータの取得 ``` get_realtime_data ツールを使用して、現在アクティブなユーザー数を取得します。引数: { "metrics": ["activeUsers"], "dimensions": ["deviceCategory"], "limit": 10 } ``` ## リソースの使用例 ``` ga4://property/123456789/metadata リソースにアクセスして、利用可能なメトリクスとディメンションを確認します。 ``` ## 使用例 Claudeでの使用例については、[Claude使用例](examples/claude-usage-examples.md)を参照してください。 ## ライセンス MIT

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Setting up with Highlight

Setting up with Cursor

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Setting up with Claude Desktop

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Setting up with Windsurf

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Setting up with Cline

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Setting up with Goose

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From the repository

Claude Desktop / Cursor

Linux

Macos

Windows

Install

About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

Linux

Macos

Windows

Install

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