How do I create API credentials in Piwik PRO?

Log in to Piwik PRO, go to **Menu** > **Administration**. In the sidebar, select **Personal API keys** and click **Create a new key**. You will receive a Client ID and Client Secret.

What is the subdomain format?

The subdomain is the host of your Piwik PRO instance, for example `yourcompany.piwik.pro` or `app.piwik.pro`.

Can I run raw queries against the analytics API?

Yes! Use the `query_piwik_analytics` tool and provide a valid JSON query body. This allows you to extract precise data points using the Piwik PRO Query API format.

Piwik PRO MCP Server for Pydantic AI 6 tools — connect in under 2 minutes

Name: Piwik PRO
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 6 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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 Piwik PRO "
            "(6 tools)."
        ),
    )

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

asyncio.run(main())

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* 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 Piwik PRO MCP Server

Connect your Piwik PRO Analytics Suite to any AI agent and take full control of your privacy-compliant data workflows through natural conversation.

Pydantic AI validates every Piwik PRO tool response against typed schemas, catching data inconsistencies at build time. Connect 6 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

Analytics Discovery — List all websites and apps (containers) tracked in your Piwik PRO account.
Custom Reporting — Execute complex analytics queries using JSON to extract specific dimensions and metrics.
Goal Tracking — List and monitor conversion goals for any specific application.
Dashboard Visibility — List available dashboards to maintain an overview of your analytical insights.
Admin Oversight — List account users and tracking sites to manage your organization's setup.

The Piwik PRO MCP Server exposes 6 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.

How to Connect Piwik PRO to Pydantic AI via MCP

Follow these steps to integrate the Piwik PRO MCP Server with Pydantic AI.

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 6 tools from Piwik PRO with type-safe schemas

Why Use Pydantic AI with the Piwik PRO MCP Server

Pydantic AI provides unique advantages when paired with Piwik PRO 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 Piwik PRO integration code

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

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

Piwik PRO + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Piwik PRO MCP Server delivers measurable value.

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

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

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

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

Piwik PRO MCP Tools for Pydantic AI (6)

These 6 tools become available when you connect Piwik PRO to Pydantic AI via MCP:

list_piwik_apps

List all websites/apps in Piwik PRO

list_piwik_dashboards

List Piwik PRO dashboards

list_piwik_goals

List goals for a specific app

list_piwik_sites

List tracking sites

list_piwik_users

List account users

query_piwik_analytics

Requires a JSON query body. Execute a custom analytics query

Example Prompts for Piwik PRO in Pydantic AI

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

"List all websites tracked in my Piwik PRO account."

"What are the conversion goals defined for the 'E-commerce Portal' (ID: 12345)?"

"List all users with access to our Piwik PRO organization."

Troubleshooting Piwik PRO MCP Server with Pydantic AI

Common issues when connecting Piwik PRO to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Piwik PRO + Pydantic AI FAQ

Common questions about integrating Piwik PRO 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 Piwik PRO MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.