Pydantic AISDK

Simple Analytics MCP Server

Bring Web Analytics
to Pydantic AI

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

Learn how to connect Simple Analytics to Pydantic AI and start using 5 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Add WebsiteExport DatapointsGet StatsList WebsitesSend Server Event

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

What is the 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.

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.

How it works

Subscribe to this server
Enter your Simple Analytics API Key
Start querying your web traffic data through natural language in Claude, Cursor, or any MCP client

Who is this for?

Data Analysts — quickly pull traffic metrics and export raw data for spreadsheets or BI tools without manual exports
Marketing Managers — check campaign performance and visitor trends across multiple domains using simple questions
Developers — integrate server-side event tracking and monitor site health directly from the terminal or IDE

Built-in capabilities (5)

add_website

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

export_datapoints

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

get_stats

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

list_websites

List all websites associated with the user

send_server_event

Submit a server-side event or pageview

Why Pydantic AI?

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.

—
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

See it in action

Simple Analytics in Pydantic AI

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

Simple Analytics and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Simple Analytics to Pydantic AI 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.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	Raw MCP	Vinkius
Server catalog	Find and host yourself	4,000+ 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

Unlock for AI Agents View step-by-step setup guide for Pydantic AI →

Enterprise Security

Why teams choose Vinkius for Simple Analytics in Pydantic AI

The Simple Analytics 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 5 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Pydantic AI 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.

Unlock for AI Agents View full Simple Analytics details →

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

The Vinkius Advantage

How Vinkius secures
Simple Analytics for Pydantic AI

Every tool call from Pydantic AI to the Simple Analytics MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

Can I see how many visitors my site had last week?

Yes! Use the get_stats tool with your domain and set the start parameter to 'today-7d'. Your agent will return aggregated visitors and pageviews for that period.

Is it possible to export raw data for custom analysis?

Absolutely. The export_datapoints tool allows you to retrieve raw, non-sampled data points in JSON or CSV format, provided you have your User-Id configured.

Can I track events that happen on my server, like a successful payment?

Yes, use the send_server_event tool. You can specify the event name, hostname, and even include custom metadata to track backend conversions without any client-side scripts.

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.