MCP For Claude Marketplace
Amplitude

Amplitude MCP Connector for Claude

D

Analyze product data via Amplitude — get user activity, calculate retention, analyze funnels, and track revenue directly from any AI agent.

10 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

Connect your Amplitude account to your AI agent and seamlessly query behavioral data and product analytics using natural language.

What you can do

  • User Activity & Search — Search for specific users and track their detailed event stream to diagnose individual journeys
  • Funnels & Conversions — Request step-by-step conversion funnels to identify where users drop off
  • Retention — Generate day-over-day retention curves to understand how well features keep users engaged
  • Segmentation — Query event counts and uniques over time to see clear adoption trends
  • Cohorts — List your behavioral cohorts, view sizes, and request exports for further targeted analysis
  • Active Users & Revenue — Instantly pull DAU/WAU/MAU and daily revenue metrics right into your workflow

How it works

  1. Subscribe to this server
  2. Enter your Amplitude Project API Key and Secret Key
  3. Start answering product questions directly via Claude, Cursor, or any MCP-compatible client

Never break your context to build dashboards. Ask your agent, get real-time data.

Who is this for?

  • Product Managers — rapidly test hypotheses by asking for funnel conversions or feature retention without coding
  • Data Analysts — export raw events, find out user activity, and cross-reference cohorts easily
  • Customer Success — debug specific user sessions by pulling their exact event activity stream
  • Growth Teams — monitor daily revenue and active users instantly from your workspace
user-behaviorproduct-analyticsretention-metricsconversion-funnelsevent-tracking

10 tools expose this connector's capabilities to your AI agent.

export_events

Amplitude is a product analytics platform. Pass start/end as YYYYMMDDTHH (e.g. 2026010100). Export raw Amplitude event data for a time range

get_user_activity

Useful for diagnosing individual user journeys. Get Amplitude user activity stream

event_segmentation

Pass event name, start/end as YYYYMMDD. Query Amplitude event segmentation

search_users

Useful to find specific users before checking their activity. Search Amplitude users by user ID, device ID, or email

get_retention

Pass start_event (acquisition), return_event, start/end dates. Start/End should be YYYYMMDD. Query Amplitude retention

get_funnel

Pass comma-separated event names, start/end as YYYYMMDD. Query Amplitude funnel conversion

list_cohorts

Cohorts group users by behavior. List Amplitude behavioral cohorts

get_cohort

Depending on the backend this may require polling until ready. Request an Amplitude cohort download

revenue_analysis

Start/End as YYYYMMDD. Get Amplitude revenue analysis by day

active_users

Start/End as YYYYMMDD. Get Amplitude daily/weekly/monthly active users (DAU/WAU/MAU)

See how to talk to your AI agent using Amplitude.

What's our funnel conversion from 'Landing_Page_View' to 'Sign_Up_Success' for the last 3 days?

I checked the conversion funnel. Over the last 3 days, 14,200 users triggered 'Landing_Page_View'. Of those, 2,840 completed 'Sign_Up_Success'. This represents an overall conversion rate of 20%, which is slightly above our weekly average.

Show the recent user activity for customer email@example.com

I've pulled the activity stream for email@example.com. In the last 2 hours, they logged in, triggered 'Payment_Initiated', but then hit an error on 'Payment_Gateway_Failed'. You might want to review the exact property payload.

What is our Daily Active Users (DAU) count since start of the month?

I fetched the DAU data. Since the 1st of the month, DAU has ranged from 45,000 to 52,000. Yesterday hit a peak at 52,104, reflecting our recent campaign launch. Would you like a breakdown of revenue from this period?

Yes. Search for the user by their email or ID using `search_users`, completely avoiding the manual lookup. Then, ask your agent to pull their raw activity stream via `get_user_activity`. The agent will retrieve all events triggered by this user, making it simple to spot exactly where they failed or stopped interacting.

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