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Summary
Query Google Analytics 4 (account/property metadata, custom dimensions/metrics, core reports, realtime reports, funnel reports) from any AI agent. 8 tools, OAuth2 user auth.
Prova a chiedere
Prompt di esempio per Google Analytics 4
Clicca su un prompt per copiarlo. Incollalo in Claude, ChatGPT, Cursor, Gemini, Copilot o OpenClaw per eseguirlo contro questo connettore.
Claude è un'AI e può sbagliare. Verifica sempre le risposte.
💡 Niente installazione? Vai direttamente su cloud.anythingmcp.com. Accedi, clicca Connectors → Google Analytics 4, inserisci le credenziali, genera una MCP API key — fatto. Niente Docker, niente
git clone, niente server locale.
Google Analytics 4 + Gemini
Query Google Analytics 4 (account/property metadata, custom dimensions/metrics, core reports, realtime reports, funnel reports) from any AI agent. 8 tools, OAuth2 user auth.
Prerequisiti
Le istruzioni di setup complete sono incluse nel connettore stesso (visibili nello store quando lo selezioni). Le variabili d'ambiente richieste sono:
GOOGLE_CLIENT_ID, GOOGLE_CLIENT_SECRET, GOOGLE_REFRESH_TOKEN
Step 1 — Ottieni le credenziali
This connector wraps the Google Analytics Data API v1beta (analyticsdata.googleapis.com) and Admin API v1beta (analyticsadmin.googleapis.com) — the same two APIs the official googleanalytics/google-analytics-mcp server uses.
Setup — OAuth2 user flow (one-time per account):
- Go to https://console.cloud.google.com → pick or create a project.
- APIs & Services → Library → enable both:
- Google Analytics Admin API (https://console.cloud.google.com/apis/library/analyticsadmin.googleapis.com)
- Google Analytics Data API (https://console.cloud.google.com/apis/library/analyticsdata.googleapis.com)
- …
Step 2 — Installa l'adapter
git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d
Step 3 — Aggiungi il connettore in Gemini
Gemini CLI legge i server MCP da ~/.gemini/settings.json (o %APPDATA%\gemini\settings.json su Windows). Aggiungi:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp",
"headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
}
}
}
- Ottieni la tua MCP API key da AnythingMCP → Profilo → MCP API Keys → Nuova Key.
- Salva il file e riavvia
gemini. - Esegui
/mcpnella Gemini CLI —Google Analytics 4dovrebbe essere elencato come disponibile. - Vertex AI Studio: passa
https://cloud.anythingmcp.com/mcpnell'arraytoolsdella richiesta con lo stesso header Bearer.
Tool disponibili
| Tool | What it does |
|---|---|
ga4_get_account_summaries | List the user's GA4 accounts and their properties (account ID, account name, property IDs, display names) |
ga4_get_property_details | Get detailed info about one GA4 property: display name, create time, time zone, currency, parent account, industry category, service level, |
ga4_list_google_ads_links | List Google Ads accounts linked to a GA4 property (useful to confirm conversion attribution wiring) |
ga4_list_custom_dimensions | List custom dimensions defined on a property — use these parameterName values in dimensions of ga4_run_report |
ga4_list_custom_metrics | List custom metrics defined on a property — use these parameterName values in metrics of ga4_run_report |
ga4_run_report | Run a core analytics report |
ga4_run_realtime_report | Run a realtime report (last 30 minutes of activity) |
ga4_run_funnel_report | Run a funnel report — measures conversion at each step of a user journey (e |
FAQ
Gemini 1.5 Pro o 2.x supportano MCP? Sì — Gemini CLI ≥ 0.4 e la Vertex AI tools API accettano connettori MCP httpUrl con header Bearer.
Prossimi passi
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