How to integrate Mixpanel MCP with Autogen

This guide walks you through connecting Mixpanel to AutoGen using the Composio tool router. By the end, you'll have a working Mixpanel agent that can show daily active users for last month, list top events by user engagement, analyze conversion funnel for signup flow through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Mixpanel account through Composio's Mixpanel MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Mixpanel

Basic

Mixpanel is a product analytics platform tracking user interactions and engagement. It helps teams analyze behavior, track funnels, and improve user experiences.

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Introduction

This guide will help you understand how to give your AutoGen agent real control over a Mixpanel account through Composio's Mixpanel MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Mixpanel with

ChatGPT OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenCode Cursor VS Code OpenClaw Hermes CLI Google ADK LangChain Vercel AI SDK Mastra AI LlamaIndex CrewAI

TL;DR

Here's what you'll learn:

Get and set up your OpenAI and Composio API keys
Install the required dependencies for Autogen and Composio
Initialize Composio and create a Tool Router session for Mixpanel
Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
Configure an Autogen AssistantAgent that can call Mixpanel tools
Run a live chat loop where you ask the agent to perform Mixpanel operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

Multi-Agent Systems: Build collaborative agent workflows
MCP Workbench: Native support for Model Context Protocol tools
Streaming HTTP: Connect to external services through streamable HTTP
AssistantAgent: Pre-built agent class for tool-using assistants

What is the Mixpanel MCP server, and what's possible with it?

The Mixpanel MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Mixpanel account. It provides structured and secure access to your product analytics data, so your agent can perform actions like retrieving event metrics, analyzing cohorts, exploring funnels, and running custom queries on your behalf.

Event property and trend analysis: Ask your agent to fetch unique, total, or average values for specific events and properties over time to spot trends and measure engagement.
Cohort and funnel exploration: Have your agent pull lists of saved cohorts or funnels, or retrieve detailed funnel performance data to understand user journeys.
User activity and frequency reporting: Direct your agent to analyze how frequently users perform key events or to get event activity feeds for individual profiles.
Custom JQL query execution: Run advanced, custom JavaScript queries through your agent for deep, flexible analytics tailored to your business questions.
Project and configuration management: Let your agent list all Mixpanel projects under your account, giving you quick access to metadata and configuration details.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step08 STEPS

Prerequisites

You will need:

A Composio API key
An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
A Mixpanel account you can connect to Composio
Some basic familiarity with Autogen and Python async

Getting API Keys for OpenAI and Composio

OpenAI API Key

Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
Keep the API key safe.

Composio API Key

Log in to the Composio dashboard.
Navigate to your API settings and generate a new API key.
Store this key securely as you'll need it for authentication.

Install dependencies

bash

pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

composio connects your agent to Mixpanel via MCP
autogen-agentchat provides the AssistantAgent class
autogen-ext-openai provides the OpenAI model client
autogen-ext-tools provides MCP workbench support

Set up environment variables

bash

COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

COMPOSIO_API_KEY is required to talk to Composio
OPENAI_API_KEY is used by Autogen's OpenAI client
USER_ID is how Composio identifies which user's Mixpanel connections to use

Import dependencies and create Tool Router session

python

import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Mixpanel session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["mixpanel"]
    )
    url = session.mcp.url

What's happening:

load_dotenv() reads your .env file
Composio(api_key=...) initializes the SDK
create(...) creates a Tool Router session that exposes Mixpanel tools
session.mcp.url is the MCP endpoint that Autogen will connect to

Configure MCP parameters for Autogen

python

# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

url points to the Tool Router MCP endpoint from Composio
timeout is the HTTP timeout for requests
sse_read_timeout controls how long to wait when streaming responses
terminate_on_close=True cleans up the MCP server process when the workbench is closed

Create the model client and agent

python

# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Mixpanel assistant agent with MCP tools
    agent = AssistantAgent(
        name="mixpanel_assistant",
        description="An AI assistant that helps with Mixpanel operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

OpenAIChatCompletionClient wraps the OpenAI model for Autogen
McpWorkbench connects the agent to the MCP tools
AssistantAgent is configured with the Mixpanel tools from the workbench

Run the interactive chat loop

python

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Mixpanel related question or task to the agent.\n")

# Conversation loop
while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

What's happening:

The script prompts you in a loop with You:
Autogen passes your input to the model, which decides which Mixpanel tools to call via MCP
agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
Typing exit, quit, or bye ends the loop

Complete Code

Here's the complete code to get you started with Mixpanel and AutoGen:

python

import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Mixpanel session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["mixpanel"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Mixpanel assistant agent with MCP tools
        agent = AssistantAgent(
            name="mixpanel_assistant",
            description="An AI assistant that helps with Mixpanel operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Mixpanel related question or task to the agent.\n")

        # Conversation loop
        while True:
            user_input = input("You: ").strip()

            if user_input.lower() in ['exit', 'quit', 'bye']:
                print("\nGoodbye!")
                break

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You now have an Autogen assistant wired into Mixpanel through Composio's Tool Router and MCP. From here you can:

Add more toolkits to the toolkits list, for example notion or hubspot
Refine the agent description to point it at specific workflows
Wrap this script behind a UI, Slack bot, or internal tool

Once the pattern is clear for Mixpanel, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

TOOLS

Supported Tools

Every Mixpanel action and event your agent gets out of the box.

Add Unique Values to Profile List Property

Tool to add unique values to list properties on user profiles in Mixpanel using the $union operation.

Get Aggregated Event Property Values

Get unique, total, or average data for a single event and property over days, weeks, or months.

Get Aggregate Events

Get aggregate event counts over time.

List Saved Cohorts

Tool to list all saved cohorts in a Mixpanel project.

Create Annotation Tag

Tool to create a new annotation tag in Mixpanel using the provided name.

Create Identity

Tool to create an identity mapping in Mixpanel by linking an anonymous ID with an identified user ID.

Create Service Account

Tool to create a new service account for your organization and optionally add it to projects.

Delete Group

Tool to permanently delete a group profile from Mixpanel Group Analytics.

Delete Profile

Tool to permanently delete a user profile from Mixpanel, along with all of its properties.

Delete Multiple Profiles (Batch)

Tool to permanently delete multiple user profiles from Mixpanel in a single batch request.

Delete Profile Property

Tool to permanently delete properties from a Mixpanel user profile using the $unset operation.

Get All Projects

Get all projects associated with the authenticated Mixpanel account.

Get Annotation Tags

Tool to get all annotation tags from a Mixpanel project.

Batch Update Group Profiles

Tool to send a batch of group profile updates to Mixpanel.

Delete Group Properties

Tool to delete specific properties from a Mixpanel group profile.

Create Identity Alias

Tool to create an alias mapping between two distinct IDs in Mixpanel.

Execute JQL Query

Execute a custom JQL (JavaScript Query Language) query against Mixpanel's Query API.

List Saved Funnels

Get the names and funnel_ids of your funnels.

List Service Accounts

Tool to list all service accounts for an organization.

Append to Profile List Property

Tool to append values to list properties on user profiles in Mixpanel.

Update Multiple Profiles (Batch)

Tool to update multiple user profiles in Mixpanel in a single batch request.

Get Profile Event Activity

Get event activity feed for specified users from Mixpanel Query API.

Increment Profile Numerical Property

Tool to increment or decrement numerical properties on user profiles in Mixpanel.

Remove from Profile List Property

Tool to remove values from list properties on user profiles in Mixpanel.

Set Profile Properties

Tool to set user profile properties in Mixpanel using the $set operation.

Query Frequency Report

Get data about how frequently users are performing events.

Query Saved Funnel

Get data for a funnel.

Query Saved Insight

Get data from your Insights reports.

Query Numeric Average Report

Averages an expression for events per unit time.

Query Numeric Sum Report

Sums an expression for events per unit time.

Query Profiles

Query user or group profile data from Mixpanel.

Query Retention Report

Query cohort analysis showing user retention patterns over time.

Query Segmentation Report

Get data for an event, segmented and filtered by properties with daily/time-series breakdown.

Query Top Events

Get the top events for today, with their counts and the normalized percent change from yesterday.

Remove from Group List Property

Tool to remove values from list properties on group profiles in Mixpanel.

Remove from Profile List Property

Tool to remove values from list properties on user profiles in Mixpanel using the $remove operation.

Numeric Bucket Segmentation Query

Tool to get event data numerically bucketed by property values.

Set Group Property Once

Tool to set properties on a Mixpanel group profile only if they don't already exist.

Set Profile Property Once

Tool to set user profile properties in Mixpanel using the $set_once operation.

Get Top Event Properties

Get the top property names for an event.

Get Top Event Property Values

Tool to get the top values for a property ordered by frequency.

Get Top Events

Get a list of the most common events over the last 31 days.

Union to Group List Property

Tool to add unique values to list properties on group profiles in Mixpanel.

FRAMEWORKS

How to build Mixpanel MCP Agent with another framework

ChatGPT

Use Mixpanel MCP with ChatGPT

OpenAI Agents SDK

Use Mixpanel MCP with OpenAI Agents SDK

Claude Agent SDK

Use Mixpanel MCP with Claude Agent SDK

Claude Code

Use Mixpanel MCP with Claude Code

Claude Cowork

Use Mixpanel MCP with Claude Cowork

Codex

Use Mixpanel MCP with Codex

Cursor

Use Mixpanel MCP with Cursor

OpenClaw

Use Mixpanel MCP with OpenClaw

Hermes

Use Mixpanel MCP with Hermes

CLI

Use Mixpanel MCP with CLI

Google ADK

Use Mixpanel MCP with Google ADK

LangChain

Use Mixpanel MCP with LangChain

Vercel AI SDK

Use Mixpanel MCP with Vercel AI SDK

Mastra AI

Use Mixpanel MCP with Mastra AI

LlamaIndex

Use Mixpanel MCP with LlamaIndex

CrewAI

Use Mixpanel MCP with CrewAI

OpenCode

Use Mixpanel MCP with OpenCode

VS Code

Use Mixpanel MCP with VS Code

MORE TOOLKITS

Explore Other Toolkits

Toolkit marketplace

Firecrawl

Api Key

Firecrawl automates large-scale web crawling and data extraction. It helps organizations efficiently gather, index, and analyze content from online sources.

Tavily

Api Key

Tavily offers powerful search and data retrieval from documents, databases, and the web. It helps teams locate and filter information instantly, saving hours on research.

Exa

Api Key

Exa is a data extraction and search platform for gathering and analyzing information from websites, APIs, or databases. It helps teams quickly surface insights and automate data-driven workflows.

Serpapi

Api Key

SerpApi is a real-time API for structured search engine results. It lets you automate SERP data collection, parsing, and analysis for SEO and research.

FAQ

Frequently asked questions

With a standalone Mixpanel MCP server, the agents and LLMs can only access a fixed set of Mixpanel tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Mixpanel and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Autogen fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Mixpanel tools.

Yes, absolutely. You can configure which Mixpanel scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Mixpanel data and credentials are handled as safely as possible.

Start with Mixpanel.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Mixpanel tool your agent needs.Free to start.

Start building

Customer stories

Teams ship real agents on Composio

GET STARTED FOR FREE BOOK A DEMO

Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati

Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

Abhi Arya

Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave

CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu

Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola

Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche

Co-Founder, Ingram Technologies

How to integrate Mixpanel MCP with Autogen

Connect Mixpanel without auth hassles

Introduction

Also integrate Mixpanel with

TL;DR

What is AutoGen?

What is the Mixpanel MCP server, and what's possible with it?

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install dependencies

Set up environment variables

Import dependencies and create Tool Router session

Configure MCP parameters for Autogen

Create the model client and agent

Run the interactive chat loop

Complete Code

Conclusion

Supported Tools

How to build Mixpanel MCP Agent with another framework

ChatGPT

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

Cursor

OpenClaw

Hermes

CLI

Google ADK

LangChain

Vercel AI SDK

Mastra AI

LlamaIndex

CrewAI

OpenCode

VS Code

Explore Other Toolkits

Firecrawl

Tavily

Exa

Serpapi

Frequently asked questions

What are the differences in Tool Router MCP and Mixpanel MCP?+

Can I use Tool Router MCP with Autogen?+

Can I manage the permissions and scopes for Mixpanel while using Tool Router?+

How safe is my data with Composio Tool Router?+

Start with Mixpanel.It takes 30 seconds.

Teams ship real agents on Composio