Pydantic AISDK

Pirsch Analytics MCP Server

Bring Web Analytics
to Pydantic AI

Name: Pirsch Analytics MCP Server
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

Learn how to connect Pirsch Analytics to Pydantic AI and start using 14 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Create DomainGet Statistics ActiveGet Statistics EventsGet Statistics GoalsGet Statistics OverviewGet Statistics PageGet Statistics ReferrerGet Statistics Utm SourceGet Statistics VisitorList DomainsSend EventSend Event BatchSend HitSend Hit Batch

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 Pirsch Analytics MCP Server?

Connect Pirsch Analytics to your AI agent to monitor your website traffic and user behavior without compromising privacy. This MCP server allows you to collect data and query complex statistics through natural language.

What you can do

Traffic Monitoring — Retrieve overview, visitor, and page statistics for any of your domains using specific date ranges.
Event Tracking — Send individual or batch hits and events to track user conversions and interactions in real-time.
Domain Management — List all configured domains and create new ones directly through the API.
Referrer & Source Analysis — Analyze where your traffic is coming from with detailed referrer and UTM source statistics.
Real-time Insights — Access active visitor counts and goal completion metrics to stay on top of your site's performance.

How it works

Subscribe to this server
Enter your Pirsch Access Token (Client Secret)
Start querying your analytics from Claude, Cursor, or any MCP-compatible client

Who is this for?

Marketing Managers — get instant reports on campaign performance and visitor trends without opening a dashboard.
Developers — integrate tracking hits and events into automated workflows or check site health from the CLI/IDE.
Data Analysts — extract raw statistics and overview metrics for custom reporting and performance audits.

Built-in capabilities (14)

create_domain

Create a new domain

get_statistics_active

Get active visitors statistics

get_statistics_events

Get events list statistics

get_statistics_goals

Get conversion goals statistics

get_statistics_overview

Get overview statistics for a domain

get_statistics_page

Get page statistics

get_statistics_referrer

Get referrer statistics

get_statistics_utm_source

Get UTM source statistics

get_statistics_visitor

Get visitor statistics

list_domains

List all domains

send_event

Send an event to Pirsch

send_event_batch

Send a batch of events

send_hit

Send as much information as possible for accurate analytics. Send a page view (hit) to Pirsch

send_hit_batch

Send a batch of page views (hits)

Why Pydantic AI?

Pydantic AI validates every Pirsch Analytics tool response against typed schemas, catching data inconsistencies at build time. Connect 14 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 Pirsch 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 Pirsch Analytics connection logic from agent behavior for testable, maintainable code

See it in action

Pirsch Analytics in Pydantic AI

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

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

Teams that connect Pirsch 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 Pirsch Analytics in Pydantic AI

The Pirsch 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 14 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 Pirsch 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
Pirsch Analytics for Pydantic AI

Every tool call from Pydantic AI to the Pirsch 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

How can I get a quick summary of my website's performance for a specific period?

You can use the get_statistics_overview tool. Just provide the Domain ID and the start/end dates (YYYY-MM-DD). The agent will return key metrics like visitors, views, and bounce rate.

Is it possible to track custom user actions like button clicks?

Yes! Use the send_event tool. You'll need to provide the event name, the current URL, and visitor details (IP and User-Agent) to record the interaction in Pirsch.

Can I see which pages are the most popular on my site?

Absolutely. Use the get_statistics_page tool with your Domain ID and date range. It will list the top pages along with their respective view counts and visitor data.

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 Pirsch Analytics MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.