Integrate Pirsch Analytics with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiCreate domain on Pirsch Analytics
Create a new domain
Get statistics active on Pirsch Analytics
Get active visitors statistics
Get statistics events on Pirsch Analytics
Get events list statistics
Get statistics goals on Pirsch Analytics
Get conversion goals statistics
Get statistics overview on Pirsch Analytics
Get overview statistics for a domain
Get statistics page on Pirsch Analytics
Get page statistics
Get statistics referrer on Pirsch Analytics
Get referrer statistics
Get statistics utm source on Pirsch Analytics
Get UTM source statistics
Get statistics visitor on Pirsch Analytics
Get visitor statistics
List domains on Pirsch Analytics
List all domains
Send event on Pirsch Analytics
Send an event to Pirsch
Send event batch on Pirsch Analytics
Send a batch of events
Send hit on Pirsch Analytics
Send as much information as possible for accurate analytics. Send a page view (hit) to Pirsch
Send hit batch on Pirsch Analytics
Send a batch of page views (hits)
Security & Code Integrity Audit
Every tool in the Pirsch Analytics MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
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.
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
What can AI Agents do with Pirsch Analytics?
Enable conversational interfaces like ChatGPT and Claude to execute programmatic commands against the Pirsch Analytics infrastructure.
Automating web analytics with AI
The Pirsch Analytics toolkit provides structured tools for web analytics. It enables conversational interfaces like Claude Code to query and modify data within your data analytics infrastructure.
Connecting privacy focused with Cursor
Add Pirsch Analytics to your workspace to support privacy focused automation. The integration processes the required parameters for data analytics execution by LLMs.
Pirsch Analytics. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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