Conecta Google Analytics a ChatGPT, Claude y Gemini

• 01 / 03Cómo analizar embudos
• 02 / 03Cómo monitorizar el tráfico
• 03 / 03Cómo analizar rutas de usuario

Día más rápido

762ms

Día más lento

1180ms

Tendencia de 14 días

Ralentizando+7%

Google Analytics 4 Connector

Todo listo. Elige tu cliente MCP y sigue las instrucciones de configuración.

Enlace del conectorhttps://edge.vinkius.com/vk_preview_v8thcnqdwIs5ecz18LHuEc3p1uB6nf8I9CCTGT2t/mcpCopiar

Claude Desktop

Sigue los pasos siguientes para conectarte en segundos.

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.

Configuración · claude_desktop_config.jsonCopiar

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

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

Las instrucciones paso a paso para cada cliente están en la guía. Cómo conectar

¿Configuración guiada para Claude? Conectar Google Analytics 4 con Claude y otras IA

Ve todos los clientes de IA con los que funciona este connector ↑

• 01

  Equipos de Marketing

  Para obtener reportes personalizados por canal, geografía o dispositivo sin entrar en la interfaz de GA4.

• 02

  Product Managers

  Para monitorear tasas de conversión en embudos y detectar dónde abandonan los usuarios en el registro o el pago.

• 03

  Analistas de Datos

  Para exportar datos masivos hacia herramientas de BI o validar la compatibilidad de métricas antes de consultas complejas.

• 04

  Equipos de Soporte

  Para investigar el recorrido de usuarios específicos mediante su ID y resolver incidencias técnicas.

• 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.

• 

  Google Analytics 4 Conector de IA

  Understand your website and app traffic with event-based analytics that reveal user behavior, conversions, and

  Ver
• 

  QuestDB (Time-Series) Conector de IA

  High-performance time-series database for fast SQL queries, data ingestion, and real-time analytics directly f

  Ver
• 

  Mixpanel (Event Analytics & Insights) Conector de IA

  Manage product analytics via Mixpanel — query event trends, track conversion funnels, and audit user cohorts.

  Ver
• 

  Sensors Data Conector de IA

  Orchestrate Sensors Data analytics — manage events, query user profiles, and monitor data ingestion directly f

  Ver

Sugerencias

• 

  PubNub (Real-time Messaging) Conector de IA

  Enable real-time messaging, presence tracking, and message history for your AI agent using PubNub's global dat

  Ver
• 

  Tinybird Data Platform Conector de IA

  Analyze real-time data via Tinybird — manage Data Sources, inspect Pipes, and query endpoints directly.

  Ver
• 

  Real-Time Currency Exchange Conector de IA

  Give your AI access to the global forex market. Convert real-time and historical currencies instantly using of

  Ver
• 

  Matomo Conector de IA

  Open-source web analytics via Matomo — track visits, goals, and user behavior directly from any AI agent.

  Ver