How to Use the Umami (Privacy Analytics) MCP in OpenAI Agents SDK

Q: How does Umami (Privacy Analytics) interact with the OpenAI Agents SDK for attribution?

The OpenAI Agents SDK lets your agent call createattributionreport directly. This means you can ask it to generate a marketing attribution report instantly, getting insights without needing manual API calls.

Q: Can I manage users and teams using Umami (Privacy Analytics) with the OpenAI Agents SDK?

Yes. The agent has admin tools like createuser and addteamuser. You can use these to set up new team members or grant access before running any analytics reports.

Q: What data privacy protections does Umami (Privacy Analytics) offer when using the OpenAI Agents SDK?

When using the OpenAI Agents SDK, the server touches session details. The agent processes this information to give you metrics without exposing raw, identifiable user data. Your focus stays on analytics, not individual profiles.

Q: How reliable are the metrics provided by Umami (Privacy Analytics) using the OpenAI Agents SDK?

The agent uses verified tools like getwebsitemetrics to pull statistics. Because of the built-in guardrails, you can trust that the data structure passed back is valid and ready for your next step.

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Connect Umami (Privacy Analytics) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Umami (Privacy Analytics) to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Umami (Privacy Analytics) with OpenAI Agents SDK

Ask AI about this MCP

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Perplexity

Deep Event Tracking and Retrieval

Need to know what happened on a page? You can get all event data grouped by name using `get_website_event_data`. It also pulls specific field counts with `get_website_event_data_fields`. This gives your agent granular visibility into user actions.

Comprehensive Reporting Automation

Stop stitching reports together manually. The Umami (Privacy Analytics) MCP Server handles core reporting functions like generating a full conversion funnel with `create_funnel_report` or calculating revenue over time via `create_revenue_report`. Your agent can run these tasks on demand.

Real-Time Performance Monitoring

Don't wait for daily reports. You can get live statistics within the last 30 minutes using `get_realtime_stats`, or track active users in the last five minutes with `get_website_active`. This capability keeps your agent informed about immediate site health.

Setup guide

Set up Umami (Privacy Analytics) MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Umami (Privacy Analytics) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Umami (Privacy Analytics) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Umami (Privacy Analytics) tools and returns structured results. Copy the full example on the right to get started.

agent.py

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

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Umami (Privacy Analytics) Agent",
            instructions="You have access to Umami (Privacy Analytics) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Umami (Privacy Analytics) MCP in OpenAI Agents SDK

The OpenAI Agents SDK lets your agent call `create_attribution_report` directly. This means you can ask it to generate a marketing attribution report instantly, getting insights without needing manual API calls.

Yes. The agent has admin tools like `create_user` and `add_team_user`. You can use these to set up new team members or grant access before running any analytics reports.

When using the OpenAI Agents SDK, the server touches `session details`. The agent processes this information to give you metrics without exposing raw, identifiable user data. Your focus stays on analytics, not individual profiles.

You can manage your site infrastructure directly through the agent. Tools like `create_website` and `delete_website` let you provision or remove sites, ensuring that all associated data is correctly handled.

The agent uses verified tools like `get_website_metrics` to pull statistics. Because of the built-in guardrails, you can trust that the data structure passed back is valid and ready for your next step.

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