Google Analytics 4 MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Batch Run Reports, Check Compatibility, Get Conversions, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Google Analytics 4 through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The Google Analytics 4 app connector for Pydantic AI is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Google Analytics 4 "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Google Analytics 4?"
)
print(result.data)
asyncio.run(main())
* 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
About Google Analytics 4 MCP Server
Connect your Google Analytics 4 property to any AI agent and access web analytics through natural conversation.
Pydantic AI validates every Google Analytics 4 tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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
The Google Analytics 4 MCP Server exposes 12 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Google Analytics 4 tools available for Pydantic AI
When Pydantic AI connects to Google Analytics 4 through Vinkius, your AI agent gets direct access to every tool listed below — spanning web-analytics, event-tracking, conversion-analysis, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
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
Connect Google Analytics 4 to Pydantic AI via MCP
Follow these steps to wire Google Analytics 4 into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Google Analytics 4 MCP Server
Pydantic AI provides unique advantages when paired with Google Analytics 4 through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Google Analytics 4 integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Google Analytics 4 connection logic from agent behavior for testable, maintainable code
Google Analytics 4 + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Google Analytics 4 MCP Server delivers measurable value.
Type-safe data pipelines: query Google Analytics 4 with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Google Analytics 4 tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Google Analytics 4 and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Google Analytics 4 responses and write comprehensive agent tests
Example Prompts for Google Analytics 4 in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Google Analytics 4 immediately.
"Show me the top 10 pages by views this month and where the traffic is coming from."
"How many conversions did we get this week and which pages drove them?"
"What devices are our users on and which countries are generating the most traffic?"
Troubleshooting Google Analytics 4 MCP Server with Pydantic AI
Common issues when connecting Google Analytics 4 to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiGoogle Analytics 4 + Pydantic AI FAQ
Common questions about integrating Google Analytics 4 MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.