Now Available — Connect Product Analytics + AI

# AI-Power Your Product Analytics in 2 Clicks

MCPEngage connects Product Analytics to any AI model via MCP.
Query events, build cohorts, and optimize funnels — all through conversation.

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View on GitHub
app.mcpengage.com/product-analytics

#### User Signup

842 events • Last hour

Rising
+24% vs avg Conversion 8.2%

#### Feature Adoption

1.2K events • Last hour

Stable
+2% vs avg Retention 68%

#### Checkout Drop-off

238 events • Last hour

Alert
+42% vs avg Step 2
Scroll to explore
0+
Analytics Tools
$0
Setup Cost
0min
Install Time
24/7
User Insights
Quick Install

## Up and Running in
One Command

~/projects
Open source — view the full code on GitHub
The Difference

## Before vs. After

### Before MCPEngage

- SQL for every question

  Want to know signup conversion? Write a query, wait 5 minutes, debug syntax errors

- Dashboard overload

  Create 20 dashboards for different metrics, still can't find the answer you need

- Delayed insights

  Funnel drop-off happened yesterday, discover it today, fix it tomorrow — revenue lost

- Siloed data

  Events in Mixpanel, revenue in Stripe, support tickets in Zendesk — no unified view

### After MCPEngage

- Natural-language queries

  "Show signup conversion rate by traffic source last 30 days" — instant answer

- AI-powered insights

  Your AI proactively surfaces anomalies, trends, and opportunities

- Real-time alerts

  Get notified the moment funnel conversion drops or feature adoption spikes

- Unified intelligence

  Cross-reference analytics with CRM, revenue, and support data in one query

The Problem

## Your Product Decisions Are
Data-Blind

You have analytics tools, but by the time you find the insight, the opportunity is gone.

### SQL Dependency

Every product question requires SQL. Analyst backlog is 2 weeks. You ship features blind because waiting for data is slower than guessing.

### Historical Blindness

Your dashboard shows what happened last week. You need to know what's happening right now. Drop-offs, spikes, anomalies — you see them after it's too late to act.

### Insight Fragmentation

Event data in analytics. Revenue in Stripe. User feedback in Zendesk. NPS in Delighted. The full story is scattered across 6 tools. You spend hours stitching context.

The Solution

## Three Steps to
AI-Powered Product Intelligence

1

### Connect Your Analytics Platform

Paste your API key for Mixpanel, Amplitude, PostHog, or any analytics platform. MCPEngage discovers all events, properties, and user data — building 58+ tools automatically.

2

### Ask in Plain English

"Which features have the highest 7-day retention?" "Show funnel drop-off by device type." "Create a cohort of users who signed up this month." Your AI understands and delivers insights.

3

### Automate Intelligence

Set up alerts for conversion drops, feature adoption spikes, or cohort behavior changes. Generate weekly retention reports, track north star metrics — all running 24/7.

Features

## Everything to
Supercharge Product Analytics

58+ analytics tools accessible through one natural-language interface.

### Event Analysis

Query any event, filter by properties, and analyze trends. "Show button_click events where plan='enterprise' last 7 days."

### Funnel Intelligence

Build, analyze, and optimize conversion funnels through conversation. "Where do users drop off in the checkout funnel?"

### Cohort Builder

Create user cohorts with natural language criteria. "Create cohort of users who completed onboarding but haven't used feature X."

### Retention Analysis

Track user retention, churn, and engagement over time. "Show 30-day retention for users who signed up in January."

### Dashboard Automation

Generate custom dashboards and reports on demand. "Create dashboard showing DAU, WAU, and top 5 features by usage."

### Anomaly Detection

AI proactively alerts you to unusual patterns, spikes, or drops in key metrics. Catch issues before they impact revenue.

FAQ

## Common Questions

MCP (Model Context Protocol) is an open standard created by Anthropic that lets AI models securely connect to external tools and data sources. Think of it as a USB port for AI — MCPEngage uses MCP to give your AI real-time read/write access to Product Analytics.
MCPEngage supports all major product analytics platforms including Mixpanel, Amplitude, PostHog, Heap, Segment, Google Analytics 4, and more. You can also connect to custom analytics databases via SQL.
Yes! MCPEngage has full read/write access to your analytics platform (with your permission). You can create cohorts, define funnels, build dashboards, and export data — all through natural language.
Any MCP-compatible AI client works — Claude Desktop, Cursor, Windsurf, ChatGPT (via plugin), and more. MCPEngage is model-agnostic; it provides the tools, your preferred AI provides the intelligence.
MCPEngage is free during the beta period. After launch, pricing starts at $29/month per platform connection. Enterprise plans with custom integrations and priority support are available on request.
Yes! MCPEngage supports 66+ platforms including Stripe, Salesforce, Zendesk, HubSpot, Google Ads, and many more. Each platform gets its own MCP server with platform-specific tools. Connect as many as you need.

## Start Automating Product Analytics
Today

Join thousands of product teams using MCPEngage to build data-driven products.

### You're on the list!

We'll notify you as soon as MCPEngage for Product Analytics is ready.

Free during beta. No credit card required.