Bring Web Analytics
to Google ADK
Learn how to connect Google Analytics 4 to Google ADK and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Google Analytics 4 MCP Server?
Connect your Google Analytics 4 property to any AI agent and access web analytics through natural conversation.
What you can do
- Custom Reports — Run fully customizable GA4 reports with any combination of dimensions, metrics, and date ranges
- Real-Time Analytics — Monitor active users and current page views in real time
- Page Performance — Retrieve the top 25 pages ranked by views for any time period
- Traffic Sources — Analyze session sources and mediums to understand where visitors come from
- User Demographics — View user distribution by country for geographic insights
- Device Breakdown — See user distribution across desktop, mobile, and tablet
- Conversions — Track conversion events with counts and revenue data
- Advanced Reporting — Run pivot reports and batch multiple reports in a single request
- Metadata & Compatibility — List all available dimensions and metrics, and verify compatibility before building reports
How it works
1. Subscribe to this server
2. Enter your Google OAuth Access Token and GA4 Property ID
3. Start querying your analytics from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Marketing Teams — track campaign performance, traffic sources, and conversion funnels without opening the GA4 dashboard
- Product Managers — monitor feature adoption through page views and user engagement metrics
- Growth Engineers — analyze device breakdown, demographics, and real-time traffic patterns to optimize user experience
Built-in capabilities (12)
Batch run reports
Check report compatibility
Get conversions
Get device breakdown
Get available dimensions and metrics
Get top pages by views
Get traffic sources
Get user demographics
List audience exports
Run pivot report
Run realtime report
Data JSON must include dateRanges, dimensions, and metrics arrays. Run a custom report
Why Google ADK?
Google ADK natively supports Google Analytics 4 as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 12 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Google Analytics 4
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Google Analytics 4 tools with BigQuery, Vertex AI, and Cloud Functions
Google Analytics 4 in Google ADK
Google Analytics 4 and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Google Analytics 4 to Google ADK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Google Analytics 4 in Google ADK
The Google Analytics 4 MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Google ADK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Google Analytics 4 for Google ADK
Every tool call from Google ADK to the Google Analytics 4 MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I run custom reports with specific dimensions and metrics?
Yes! The run_report tool accepts a JSON configuration with dateRanges, dimensions (e.g., pagePath, sessionSource), and metrics (e.g., sessions, screenPageViews, conversions). Use get_metadata to list all available dimensions and metrics, and check_compatibility to verify your combination is valid before running.
Does GA4 require two credentials — an access token and a property ID?
Yes. You need a Google OAuth Access Token (for authentication via Bearer header) and a GA4 Property ID (numeric ID identifying your specific GA4 property). The Access Token can be generated via a Google Cloud Service Account with the Analytics Data API enabled. The Property ID is found in GA4 Admin > Property Settings.
Can I see real-time active users on my website?
Yes. The run_realtime_report tool provides current active user data with real-time dimensions and metrics. For pre-built convenience reports, use get_page_views for top pages, get_traffic_sources for session sources, and get_device_breakdown for device distribution.
How does Google ADK connect to MCP servers?
Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
Can ADK agents use multiple MCP servers?
Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
Which Gemini models work best with MCP tools?
Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.
McpToolset not found
Update: pip install --upgrade google-adk