Can I query my conversion funnels through my agent?

Yes. Use the `query_funnel` tool with a specific Funnel ID and date range. Your agent will retrieve the step-by-step conversion percentages and drop-off counts, allowing you to identify exactly where users are leaving your flow.

How do I filter user profiles using specific properties through a conversation?

The `query_profiles` tool allows your agent to execute JQL expressions. You can ask your agent to find users matching literal conditions like `properties['plan'] == 'pro'`, and it will retrieve the corresponding profiles and metadata securely.

Can my agent check user retention for my application?

Absolutely. Use the `query_retention` tool by providing a 'born' event (first action) and a recurring 'return' event. Your agent will compute the N-Day retention curve, showing you how sticky your product is for specific user cohorts.

Mixpanel (Event Analytics & Insights) MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Mixpanel (Event Analytics & Insights)
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Mixpanel (Event Analytics & Insights) through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

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 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="Mixpanel (Event Analytics & Insights) Assistant",
            instructions=(
                "You help users interact with Mixpanel (Event Analytics & Insights). "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Mixpanel (Event Analytics & Insights)"
        )
        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 Mixpanel (Event Analytics & Insights) MCP Server

Connect your Mixpanel account to any AI agent and take full control of your product analytics, user behavior tracking, and conversion insights through natural conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from Mixpanel (Event Analytics & Insights) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Mixpanel (Event Analytics & Insights), another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

What you can do

Event Orchestration — Query aggregate event occurrences and unique user trends over specific date intervals to understand high-level feature engagement directly from your agent
Conversion Analysis — Calculate step-by-step conversion rates and drop-offs for saved 'Funnels' to identify bottlenecks in your user journey securely
Retention Monitoring — Compute user retention curves and recurring action return rates to understand long-term product stickiness and cohort behavior natively
Deep Segmentation — Execute property-based breakdowns to split any event by specific attributes (e.g., plan type, region, device) for granular analytical insights
User Profile Audit — Query distinct user profiles using proprietary JQL expression variables to retrieve detailed company metadata and user traits instantly
Behavioral Cohorts — List and retrieve size metrics for saved user segments (Cohorts) to identify high-value audiences or risky churn segments securely
Raw Data Export — Extract atomic event logs for deep-dive investigations or external reporting pipelines, maintaining literal chronological event fidelity

The Mixpanel (Event Analytics & Insights) MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 Mixpanel (Event Analytics & Insights) to OpenAI Agents SDK via MCP

Follow these steps to integrate the Mixpanel (Event Analytics & Insights) MCP Server with OpenAI Agents SDK.

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 10 tools from Mixpanel (Event Analytics & Insights)

Why Use OpenAI Agents SDK with the Mixpanel (Event Analytics & Insights) MCP Server

OpenAI Agents SDK provides unique advantages when paired with Mixpanel (Event Analytics & Insights) 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

Mixpanel (Event Analytics & Insights) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Mixpanel (Event Analytics & Insights) MCP Server delivers measurable value.

Automated workflows: build agents that query Mixpanel (Event Analytics & Insights), process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents — one queries Mixpanel (Event Analytics & Insights), another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Mixpanel (Event Analytics & Insights) tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Mixpanel (Event Analytics & Insights) to resolve tickets, look up records, and update statuses without human intervention

Mixpanel (Event Analytics & Insights) MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Mixpanel (Event Analytics & Insights) to OpenAI Agents SDK via MCP:

export_events

Note: This API is rate-limited to 60 requests per hour. Export raw event data logs

list_cohorts

List saved behavioral cohorts

list_funnels

List all saved funnel configurations

query_events

Query aggregate Mixpanel event counts over time

query_funnel

Get conversion data for a specific funnel

query_insights

Query complex dashboard insights

query_profiles

g., properties["plan"]=="pro"). Search for specific user profiles

query_retention

Calculate user retention curves

query_segmentation

g., device or region). Break down an event by specific properties

query_top_events

Get the top 20 events by volume

Example Prompts for Mixpanel (Event Analytics & Insights) in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Mixpanel (Event Analytics & Insights) immediately.

"Show me the top 5 events by volume in my project for the last 7 days"

"Query retention from 'User Signup' to 'App Open' for Feb 2026"

"List all active user cohorts in my project"

Troubleshooting Mixpanel (Event Analytics & Insights) MCP Server with OpenAI Agents SDK

Common issues when connecting Mixpanel (Event Analytics & Insights) to OpenAI Agents SDK through the 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.

Mixpanel (Event Analytics & Insights) + OpenAI Agents SDK FAQ

Common questions about integrating Mixpanel (Event Analytics & Insights) 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.