Google AnalyticsをChatGPT、Claude、Geminiに接続

• 01 / 03ファネル分析の方法
• 02 / 03トラフィックの監視方法
• 03 / 03ユーザー行動のトラブルシューティング方法

最速日

762ms

最遅日

1180ms

14日間の傾向

遅延傾向+7%

Google Analytics 4 Connector

準備完了です。MCPクライアントを選択し、セットアップ手順に従ってください。

コネクタリンクhttps://edge.vinkius.com/vk_preview_v8thcnqdwIs5ecz18LHuEc3p1uB6nf8I9CCTGT2t/mcpコピー

Claude Desktop

以下の手順で数秒で接続できます。

1. 1In Claude Desktop, open Settings → Connectors.
2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3. 3Click Add and start a new chat — Google Analytics 4 capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "google-analytics-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_v8thcnqdwIs5ecz18LHuEc3p1uB6nf8I9CCTGT2t/mcp"
    }
  }
}

• Claude
• ChatGPT
• Cursor
• VS Code
• Windsurf
• Claude Code
• JetBrains
• Cline

各クライアントの手順ガイドはこちらです。 接続方法

Claude向けのガイド付きセットアップ？ Google Analytics 4をClaudeや他のAIに設定する

このConnectorが対応するすべてのAIクライアントを見る ↑

• 01

  マーケティングチーム

  GA4のインターフェースを開くことなく、チャネル、地域、デバイス別のカスタムレポートを即座に抽出できます。

• 02

  プロダクトマネージャー

  ファネルの転換率を監視し、サインアップや決済フローのどこでユーザーが離脱しているかを特定できます。

• 03

  データアナリスト

  BIツールでの詳細分析のためのデータ一括書き出しや、複雑なクエリを実行する前の指標の整合性確認を行えます。

• 04

  カスタマーサポートチーム

  特定のユーザーIDに基づいたアクティビティ履歴を照会し、顧客のジャーニー調査やトラブルシューティングに活用できます。

• 01

  How do I connect my Google Analytics data?

  You subscribe to the MCP on Vinkius and provide your Google Analytics API key. Once connected, your AI client can immediately start querying your properties.

• 02

  Which AI clients can I use with this MCP?

  This MCP works with any compatible client, including Claude, Cursor, Windsurf, and VS Code.

• 03

  Can I use custom dimensions in my reports?

  Yes. You can use the get_metadata capability to find your custom definitions and then include them in your run_report requests.

• 04

  How recent is the realtime data?

  The realtime reports provide data from the last 30 to 60 minutes of activity on your site or app.

• 05

  What happens if I request incompatible metrics?

  You can use the check_compatibility capability to verify your metrics and dimensions before running a report to avoid errors.

• 06

  How do I get a Google Analytics API key and what type of credentials do I need?

  You need an API Key from Google Cloud Console. Go to console.cloud.google.com → Select or create a project → Enable the Google Analytics Data API v1 → Navigate to APIs & Services > Credentials → Click Create Credentials > API Key. Copy the key (starts with AIzaSy...). Then, in Google Analytics Admin, add the service account email with Viewer or Analyst role to your GA4 property. Paste the API key below.

• 07

  What metrics and dimensions are available in GA4 and how do I find them?

  Use the get_metadata capability with your property_id to list all available metrics and dimensions. Common metrics include: activeUsers, screenPageViews, sessions, eventCount, engagementRate, averageSessionDuration, conversions. Common dimensions include: city, country, deviceCategory, sessionDefaultChannelGrouping, pageTitle, pagePath, streamName. The metadata response shows descriptions, types, and whether each field is a metric or dimension.

• 08

  Can I get realtime data and how far back does it go?

  Yes! Use the run_realtime_report capability to get data from the last 30-60 minutes. Realtime reports show active users, events, and traffic sources as they happen on your site. This is useful for monitoring campaign launches, tracking live events, or checking if tracking is working correctly. Unlike standard reports which can take 24-48 hours to process, realtime data is available within minutes.

• 09

  How do I analyze funnel conversion rates and identify drop-off points?

  Use the run_funnel_report capability with a funnel_spec JSON object defining your conversion steps. Each step includes a stepName, filterExpression (e.g., eventName equals 'page_view'), and optional breakdown settings. The response shows how many users entered each step, how many completed it, and where the biggest drop-offs occurred. This helps identify friction points in checkout flows, signup processes, or any multi-step user journey.

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