Pirsch Analytics MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 14 tools to Create Domain, Get Statistics Active, Get Statistics Events, and more

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

GDPR Free for Subscribers

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Pirsch Analytics through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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The Pirsch Analytics MCP Server for OpenAI Agents SDK is a standout in the Data Analytics category — giving your AI agent 14 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Pirsch Analytics Assistant",
            instructions=(
                "You help users interact with Pirsch Analytics. "
                "You have access to 14 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Pirsch Analytics"
        )
        print(result.final_output)

asyncio.run(main())

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<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

About 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.

The OpenAI Agents SDK auto-discovers all 14 tools from Pirsch Analytics through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Pirsch Analytics, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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.

Connect Pirsch Analytics to OpenAI Agents SDK via MCP

Follow these steps to wire Pirsch Analytics into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 14 tools from Pirsch Analytics

Why Use OpenAI Agents SDK with the Pirsch Analytics MCP Server

OpenAI Agents SDK provides unique advantages when paired with Pirsch Analytics through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Pirsch Analytics + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Pirsch Analytics MCP Server delivers measurable value.

Automated workflows: build agents that query Pirsch Analytics, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Pirsch Analytics, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Pirsch Analytics tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Pirsch Analytics to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Pirsch Analytics in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Pirsch Analytics immediately.

"Get visitor statistics for domain ID 'abc-123' from 2023-10-01 to 2023-10-31."

"Track a page view for 'https://example.com/pricing' from IP 1.2.3.4."

"List all my domains configured in Pirsch."

Troubleshooting Pirsch Analytics MCP Server with OpenAI Agents SDK

Common issues when connecting Pirsch Analytics to OpenAI Agents SDK through Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Pirsch Analytics + OpenAI Agents SDK FAQ

Common questions about integrating Pirsch Analytics MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.