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How to Use the Pirsch Analytics MCP in Mastra AI

Automate your privacy-first analytics workflows and handle traffic spikes with Mastra AI agents.

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Works with every AI agent you already use

…and any MCP-compatible client

Pirsch Analytics MCP on Cursor AI Code Editor MCP Client Pirsch Analytics MCP on Claude Desktop App MCP Integration Pirsch Analytics MCP on OpenAI Agents SDK MCP Compatible Pirsch Analytics MCP on Visual Studio Code MCP Extension Client Pirsch Analytics MCP on GitHub Copilot AI Agent MCP Integration Pirsch Analytics MCP on Google Gemini AI MCP Integration Pirsch Analytics MCP on Lovable AI Development MCP Client Pirsch Analytics MCP on Mistral AI Agents MCP Compatible Pirsch Analytics MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Mastra AI

Connect Pirsch Analytics MCP to Mastra AI

Create your Vinkius account to connect Pirsch Analytics to Mastra AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Trigger automated reporting runs with Mastra AI workflows

The `get_statistics_overview` tool retrieves high-level domain performance metrics to feed your automated reporting workflows. Mastra manages multi-step pipelines that fetch these stats, analyze performance drops, and notify your team if numbers dip. You chain this with `get_statistics_visitor` to isolate visitor trends over specific periods. If a step fails, the built-in retry engine handles network hiccups without crashing your entire analytics run.

Process high-volume event tracking with auto-retries

The `send_event_batch` tool handles bulk event logging by grouping multiple user actions into a single payload. Your workflow queues clicks, signups, and downloads, then dispatches them in structured batches to keep API usage clean. If a batch fails, the system triggers exponential backoff retries. This ensures you never lose critical conversion data during server outages or high-traffic events.

Monitor campaign performance via this MCP Server

The `get_statistics_utm_source` tool extracts campaign tracking parameters to evaluate marketing performance. Your agent reviews which UTM sources drive actual engagement, allowing your automated workflows to adjust ad spend dynamically. To verify landing page performance, the agent calls `get_statistics_page` to check bounce rates on specific URLs. This gives you direct, cookie-free feedback on where your traffic lands.

Setup guide

Set up Pirsch Analytics MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Pirsch Analytics tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "pirsch-analytics-mcp-client",
  servers: {
    "pirsch-analytics-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Pirsch Analytics Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Pirsch Analytics tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Pirsch Analytics transactions"
);
console.log(result.text);

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Pirsch Analytics. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Pirsch Analytics MCP in Mastra AI

You instantiate the MCP client with the server URL and spread the returned tools into your agent configuration. Your agent immediately gains access to commands like `get_statistics_active` to monitor live traffic.
Yes. The agent invokes `create_domain` to provision a new tracking space whenever you launch a new project. You use `list_domains` to verify the setup succeeded.
Mastra uses its built-in workflow engine to queue requests. If tools like `get_statistics_events` hit rate limits, the framework automatically retries the call using exponential backoff.
No, you usually don't. You can bypass approval for read-only statistics and background tracking tools like `send_hit`, but you can require approval for domain creation if needed.
It processes metadata like page URLs, UTM sources, and event names without storing IP addresses or tracking cookies. All data remains in Vinkius's zero-trust sandboxed MCP environment, keeping your analytical footprint clean.

Start using the Pirsch Analytics MCP today

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