amplitude · MCP Server

Improvado MCP — Analyze Your Amplitude Data in Plain English

Improvado gives your AI agent direct access to Amplitude data through an MCP server. Query funnels, retention curves, user paths, and feature adoption — in plain English. Works with Claude, ChatGPT, Cursor, and any MCP-compatible tool.

46K+ metrics ·Read & Write access ·500+ platforms ·<60s setup

Read

Read: Pull Any Amplitude Metric in Seconds

Stop building custom charts for every stakeholder question. Ask your AI agent for funnel drop-off rates, cohort retention, event frequency, or feature adoption across any segment — the MCP server handles the Amplitude API calls.

Example prompts

"What's our 7-day retention for users who completed onboarding last month? Break it down by acquisition channel."

45 min → 1 min

"Show me the top 5 events that predict conversion to paid in the first 14 days."

2 hrs → 3 min

"Compare funnel conversion rates between mobile and web for the checkout flow this quarter."

30 min → 45 sec

Works with Claude ChatGPT Cursor +5

Write

Write: Update Cohorts and Annotations Without Leaving the Chat

Your AI agent doesn't just read Amplitude data — it acts on it. Create behavioral cohorts, add annotations to mark deploys or experiments, and update user properties directly through conversation.

Example prompts

"Create a cohort of users who triggered 'report_exported' at least 3 times in 30 days but haven't upgraded."

15 min → 1 min

"Add an annotation to today's date: 'Launched new onboarding flow — v2.4.0'."

5 min → 10 sec

"Create a cohort of power users who hit the product more than 5 days per week this month."

20 min → 45 sec

Every action logged · Fully reversible · SOC 2 certified

Monitor

Monitor: Catch Metric Drops Before Stakeholders Do

Set up watches on retention, activation, and conversion metrics. Your AI agent monitors Amplitude continuously and flags anomalies before they become board-level problems.

Example prompts

"Alert me if Day-7 retention drops more than 5 percentage points vs. the prior 4-week average."

Manual → auto

"Every Monday: send a summary of weekly active users, funnel conversion rates, and top feature adoption events."

2 hrs → auto

"Flag any experiment cohort where conversion drops below our control group by more than 10%."

Manual → auto

Alerts sent to Slack, email, or your AI agent

Full cycle

The Closed Loop: Read → Decide → Write → Monitor

Your AI agent doesn't just surface data — it acts. Adjust pricing, update product descriptions, manage inventory, apply discounts — all through natural language. The MCP server translates intent into API operations.

Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.

Ideate

Launch

Measure

Analyze

Report

Iterate

One conversation. All six phases. Every platform.

The daily grind

Common problems. Direct answers.

Challenge 1

Funnel Analysis Takes a Full Afternoon

The problem

Every time a PM asks 'where are users dropping off?', it means opening Amplitude, building a funnel chart, filtering by segment, exporting to a spreadsheet, and formatting a slide. By the time the answer is ready, the meeting has started.

How MCP solves it

Improvado's MCP server lets your AI agent query Amplitude funnels directly. Ask in plain English, get a structured breakdown in under a minute — step-by-step drop-off rates by segment, platform, and cohort.

Try asking

Show me the checkout funnel drop-off by step for mobile users in the US this month.

Answer in seconds

All data sources, one query

Challenge 2

Retention Cohorts Are Buried in Chart Builder

The problem

Building a retention analysis for different acquisition cohorts requires navigating Amplitude's chart builder, selecting the right events, choosing date ranges, and repeating for each cohort. Teams end up with ten separate charts and no easy way to compare them.

How MCP solves it

Ask your AI agent for a cross-cohort retention comparison in one question. The MCP server pulls retention data across cohorts, normalizes the date offsets, and returns a clean comparison without any chart-building.

Try asking

Compare 30-day retention for users acquired via paid search vs. organic vs. referral in Q1.

Full detail preserved

No data loss on export

Challenge 3

Event Taxonomy Is Inconsistent Across Product Areas

The problem

Different squads instrument events with slightly different naming conventions. 'button_click', 'btn_clicked', 'click_button' all exist in the same taxonomy. Querying across product areas means knowing every variant, which lives in no single doc.

How MCP solves it

Improvado normalizes Amplitude event data into a consistent schema. The MCP server maps event variants automatically, so your AI agent can query across product areas without knowing every naming inconsistency.

Try asking

How many unique users triggered any CTA click event on the pricing page this week?

Unified data model

Compare anything side by side

👥 Teams

One Framework. Five Roles. Zero Setup.

Same MCP connection, different workflows for every team member. Each role asks in natural language — the MCP server handles the complexity (rate limits, auth, schema normalization, governance) behind the scenes.

Agency CEO

Portfolio health. Client risk. Revenue signals.

Media Strategist

70% strategy, not 70% ops. Auto campaign QA.

Marketing Analyst

Zero wrangling. Cross-platform. AI narratives.

Account Manager

QBR decks auto-generated. Call prep in 30s.

Creative Director

Performance-to-brief. Predict winners before spend.

FAQ

Common questions

What Amplitude data can I query through MCP?

Funnels, retention cohorts, user paths, event segmentation, DAU/WAU/MAU metrics, experiment results, user properties, and behavioral cohorts. Essentially everything you'd access through Amplitude's chart builder, but queryable in natural language through any MCP-compatible AI agent — all through Improvado's hosted MCP server.

Can the AI agent create cohorts and annotations in Amplitude?

Yes. Write operations include creating behavioral cohorts, adding chart annotations, and updating user properties. Read and write permissions are scoped to your Amplitude API key. Start with read-only access if you want to be cautious before enabling writes.

Does this work across multiple Amplitude projects?

Yes. If your organization has multiple Amplitude projects — for different products, regions, or environments — you can query across all of them through one MCP connection. Improvado handles the multi-project credential management.

How does this differ from Amplitude's built-in AI features?

Amplitude's native AI assistant works within the Amplitude UI. Improvado's MCP server brings Amplitude data into any AI tool you already use — Claude, ChatGPT, Cursor, or your own agent. It also lets you combine Amplitude data with other sources like Google Ads or CRM data in one query.

Does the Amplitude MCP integration support querying cohorts and behavioral segments?

Yes, the Amplitude MCP integration can retrieve cohort definitions and query event data segmented by user properties or behavioral cohorts you have defined in Amplitude. You can ask an AI agent to compare retention rates between cohorts, identify which user segments drove a specific conversion event, or pull funnel metrics filtered to a cohort. This makes it possible to conduct deep behavioral analysis in a conversational interface without rebuilding segment logic manually — all through Improvado's hosted MCP server.

What is the difference between using the Amplitude MCP integration and Amplitude's built-in chart and query tools?

Amplitude's built-in tools — Event Segmentation, Funnels, Retention — are powerful but require you to know which chart type to use and how to configure each parameter through the UI. The MCP integration lets you ask a plain-language question and have the agent determine the appropriate Amplitude API endpoints and parameters to answer it. This is especially useful for stakeholders who need quick answers from product data but are not familiar with Amplitude's query interface, as well as for analysts who want to iterate on questions faster — all through Improvado's hosted MCP server.

Stop Reporting. Start Executing.

Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.

SOC 2 Type II GDPR 500+ Platforms