Connectez Google Analytics à ChatGPT, Claude et Gemini

• 01 / 03Analyser les tunnels
• 02 / 03Surveiller le trafic
• 03 / 03Analyser les parcours utilisateurs

Jour le plus rapide

762ms

Jour le plus lent

1180ms

Tendance sur 14 jours

En ralentissement+7%

Google Analytics 4 Connector

Tout est prêt. Choisissez votre client MCP et suivez les instructions de configuration.

Lien du connecteurhttps://edge.vinkius.com/vk_preview_v8thcnqdwIs5ecz18LHuEc3p1uB6nf8I9CCTGT2t/mcpCopier

Claude Desktop

Suivez les étapes ci-dessous pour vous connecter en quelques secondes.

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.

Configuration · claude_desktop_config.jsonCopier

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

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

Les instructions pas à pas pour chaque client sont dans le guide. Comment connecter

Configuration guidée pour Claude ? Configurer Google Analytics 4 avec Claude et les autres IA

Voyez tous les clients IA avec lesquels ce connector fonctionne ↑

• 01

  Équipes Marketing

  Pour extraire instantanément des rapports personnalisés par canal, zone géographique ou appareil.

• 02

  Product Managers

  Pour surveiller les taux de conversion des entonnoirs et identifier les frictions dans les parcours d'inscription ou de paiement.

• 03

  Data Analysts

  Pour exporter des données vers des outils BI ou valider la compatibilité des métriques avant des requêtes complexes.

• 04

  Équipes Support

  Pour investiguer le parcours spécifique d'un client via son identifiant utilisateur afin de résoudre des incidents.

• 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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