How to integrate Mixpanel MCP with LangChain

This guide walks you through connecting Mixpanel to LangChain 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 LangChain 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.

Mixpanel logoMixpanel
Basic

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

43 Tools

Introduction

This guide walks you through connecting Mixpanel to LangChain 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 LangChain 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

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Connect your Mixpanel project to Composio
  • Create a Tool Router MCP session for Mixpanel
  • Initialize an MCP client and retrieve Mixpanel tools
  • Build a LangChain agent that can interact with Mixpanel
  • Set up an interactive chat interface for testing

What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.

Key features include:

  • Agent Framework: Build agents that can use tools and make decisions
  • MCP Integration: Connect to external services through Model Context Protocol adapters
  • Memory Management: Maintain conversation history across interactions
  • Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

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:

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

Step-by-step Guide

Step by step10 STEPS
1

Prerequisites

Before starting this tutorial, make sure you have:
  • Python 3.10 or higher installed on your system
  • A Composio account with an API key
  • An OpenAI API key
  • Basic familiarity with Python and async programming
2

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.
3

Install dependencies

npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv

Install the required packages for LangChain with MCP support.

What's happening:

  • @composio/langchain provides Composio integration for LangChain
  • @langchain/mcp-adapters enables MCP client connections
  • @langchain/core is the core agent framework
  • dotenv/config loads environment variables
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your requests to Composio's API
  • COMPOSIO_USER_ID identifies the user for session management
  • OPENAI_API_KEY enables access to OpenAI's language models
5

Import dependencies

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
What's happening:
  • We're importing LangChain's MCP adapter and Composio SDK
  • The dotenv/config import loads environment variables from your .env file
  • This setup prepares the foundation for connecting LangChain with Mixpanel functionality through MCP
6

Initialize Composio client

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
What's happening:
  • We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
  • Creating a Composio instance that will manage our connection to Mixpanel tools
  • Validating that COMPOSIO_USER_ID is also set before proceeding
7

Create a Tool Router session

const session = await composio.create(
    userId as string,
    {
        toolkits: ['mixpanel']
    }
);

const url = session.mcp.url;
What's happening:
  • We're creating a Tool Router session that gives your agent access to Mixpanel tools
  • The create method takes the user ID and specifies which toolkits should be available
  • The returned session.mcp.url is the MCP server URL that your agent will use
  • This approach allows the agent to dynamically load and use Mixpanel tools as needed
8

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "mixpanel-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });
What's happening:
  • We're creating a MultiServerMCPClient that connects to our Mixpanel MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • getTools() retrieves all available Mixpanel tools that the agent can use
  • We're creating a LangChain agent using the GPT-5 model
9

Set up interactive chat interface

let conversationHistory: any[] = [];

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

const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: '
});

rl.prompt();

rl.on('line', async (userInput: string) => {
    const trimmedInput = userInput.trim();

    if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
        console.log("\nGoodbye!");
        rl.close();
        process.exit(0);
    }

    if (!trimmedInput) {
        rl.prompt();
        return;
    }

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\n👋 Session ended.');
        process.exit(0);
    });
What's happening:
  • We initialize an empty conversationHistory list to maintain context across interactions
  • A readline interface is used to continuously accept user input from the command line
  • When a user types a message, it's added to the conversation history and sent to the agent
  • The agent processes the request using the invoke() method with the full conversation history
  • Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully
10

Run the application

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
What's happening:
  • We call the main() function to start the application

Complete Code

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

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['mixpanel']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "mixpanel-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any Mixpanel related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    rl.prompt();

    rl.on('line', async (userInput: string) => {
        const trimmedInput = userInput.trim();
        
        if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
            console.log("\nGoodbye!");
            rl.close();
            process.exit(0);
        }
        
        if (!trimmedInput) {
            rl.prompt();
            return;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\nSession ended.');
        process.exit(0);
    });
}

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});

Conclusion

You've successfully built a LangChain agent that can interact with Mixpanel through Composio's Tool Router.

Key features of this implementation:

  • Dynamic tool loading through Composio's Tool Router
  • Conversation history maintenance for context-aware responses
  • Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.
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.

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. LangChain 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.

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