Simple Analytics MCP Server for Pydantic AIGive Pydantic AI instant access to 5 tools to Add Website, Export Datapoints, Get Stats, and more

Name: Simple Analytics
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Simple Analytics through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The Simple Analytics MCP Server for Pydantic AI is a standout in the Data Analytics category — giving your AI agent 5 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python

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 Simple Analytics "
            "(5 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Simple Analytics?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Simple Analytics MCP Server

Connect Simple Analytics to your AI agent for privacy-first insights. Simple Analytics provides clean, simple, and privacy-friendly web analytics without tracking users or using cookies.

Pydantic AI validates every Simple Analytics tool response against typed schemas, catching data inconsistencies at build time. Connect 5 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

Aggregated Stats — Use get_stats to fetch pageviews, visitors, and histograms for any of your domains with custom date ranges.
Data Export — Use export_datapoints to retrieve raw, non-sampled data for deep analysis or custom reporting.
Site Management — List all managed websites with list_websites or add new domains to your account using add_website.
Server-Side Tracking — Send custom events or pageviews directly from your server using send_server_event to track conversions or backend actions.

The Simple Analytics MCP Server exposes 5 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 5 Simple Analytics tools available for Pydantic AI

When Pydantic AI connects to Simple Analytics through Vinkius, your AI agent gets direct access to every tool listed below — spanning web-analytics, privacy-focused, cookieless, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

add

Add website on Simple Analytics

Requires Business or Enterprise plan. Add a new website to Simple Analytics

export

Export datapoints on Simple Analytics

Requires User-Id credential to be set. Export raw, non-sampled data points

get

Get stats on Simple Analytics

) for a specific domain. Get aggregated statistics for a website

list

List websites on Simple Analytics

List all websites associated with the user

send

Send server event on Simple Analytics

Submit a server-side event or pageview

Connect Simple Analytics to Pydantic AI via MCP

Follow these steps to wire Simple Analytics into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 5 tools from Simple Analytics with type-safe schemas

Why Use Pydantic AI with the Simple Analytics MCP Server

Pydantic AI provides unique advantages when paired with Simple Analytics 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 Simple Analytics integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Simple Analytics connection logic from agent behavior for testable, maintainable code

Simple Analytics + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Simple Analytics MCP Server delivers measurable value.

Type-safe data pipelines: query Simple Analytics with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Simple Analytics tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Simple Analytics and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Simple Analytics responses and write comprehensive agent tests

Example Prompts for Simple Analytics in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Simple Analytics immediately.

"Get the visitor count for example.com for the last 30 days."

"List all the websites I have registered in Simple Analytics."

"Add a new website 'newproject.com' and set its timezone to 'Europe/London'."

Troubleshooting Simple Analytics MCP Server with Pydantic AI

Common issues when connecting Simple Analytics to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Simple Analytics + Pydantic AI FAQ

Common questions about integrating Simple Analytics MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Simple Analytics MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

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