heap
 · MCP Server

Heap MCP — Behavioral Data, Instantly Queryable

Connect Heap to AI agents via Improvado MCP. Ask about user journeys, funnel drop-offs, and feature engagement without navigating dashboards or waiting for analysts.

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

Read Heap Behavioral Data via AI

Improvado MCP extracts behavioral events, sessions, and funnel data from Heap and delivers it to your AI agent in real time. Get answers about user behavior without touching Heap's UI.

Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.

Example prompts
"Show anomalies across all accounts" 2h → 40s
"CPL in New York vs. California?" 1h → 30s
"ROAS by campaign type, last 30 days" 45m → 15s
Works with Claude ChatGPT Cursor +5
Write actions
"Launch A/B test, $5K budget" 5 days → 20m
"Shift 20% of Display to PMax" 2h → 1m
"Pause all ad groups with CPA > $50" 30m → 10s
🛡 Every action logged · Fully reversible · SOC 2 certified
🚀 Write

Trigger Actions Based on Behavioral Signals

Use Heap insights surfaced by MCP to push decisions back into connected systems — update segments, flag accounts for follow-up, or adjust onboarding flows based on engagement patterns.

250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.

⚠️ Monitor

Monitor User Behavior Continuously

Set AI agents to watch Heap data for behavioral anomalies — funnel regressions, engagement drops, or activation delays — and alert teams before metrics decline.

Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.

Monitor prompts
"Flag ad groups over 120% budget" 3h → 1m
"Weekly report: spend, CPA, anomalies" 3h → auto
"Which creatives are fatiguing?" 2h → 30s
Alerts sent to Slack, email, or your AI agent
💡
Ideate
🚀
Launch
📈
Measure
🔍
Analyze
📝
Report
🔄
Iterate
One conversation. All six phases. Every platform.
🔄 Full Cycle

The Closed Loop: Read → Decide → Write → Monitor

Use Heap insights surfaced by MCP to push decisions back into connected systems — update segments, flag accounts for follow-up, or adjust onboarding flows based on engagement patterns.

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

Challenge 1

Funnel Analysis Takes Too Long

THE PROBLEM

Building funnel reports in Heap requires manual configuration and often goes through an analyst queue — slowing down product and growth decisions.

HOW MCP SOLVES IT

Improvado MCP surfaces funnel data to AI agents on demand. Teams get drop-off rates and segment breakdowns in seconds, not days.

Try asking
"Show ROAS across all 120 accounts"
Answer in seconds
All data sources, one query
Try asking
"What's my CPL in New York vs. California?"
🔍
Full detail preserved
No data loss on export
Challenge 2

Hard to Connect Behavior to Revenue

THE PROBLEM

Heap shows what users do, but linking behavioral patterns to revenue outcomes requires joining data across multiple tools manually.

HOW MCP SOLVES IT

MCP lets AI agents query Heap alongside CRM and revenue data in a single conversation, making behavioral-to-revenue correlation effortless.

Challenge 3

Engagement Drops Go Unnoticed

THE PROBLEM

Without active monitoring, behavioral regressions — like a drop in feature adoption after a release — often surface only during retrospectives.

HOW MCP SOLVES IT

AI agents powered by MCP continuously watch Heap metrics and proactively alert teams when engagement patterns change.

Try asking
"PMax vs. Search ROAS for Q1?"
⚖️
Unified data model
Compare anything side by side
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.
👥 Teams

One Framework. Five Roles. Zero Setup.

Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.

Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.

Frequently Asked Questions

What is Heap MCP?
+

Heap MCP is a connection layer built by Improvado that allows AI agents to query behavioral analytics data from Heap using natural language. It extracts session, event, and funnel data from Heap and makes it available for AI-driven analysis and action.

What Heap data is accessible via MCP?
+

Via Improvado MCP, AI agents can access user events, session data, funnel steps, feature engagement metrics, and user segments. The specific data available depends on your Heap account configuration and API access.

Can Heap MCP be used without a data warehouse?
+

Yes. Improvado MCP queries Heap directly via its API, so teams can get behavioral insights into their AI agent without needing a data warehouse or ETL pipeline set up.

How does Heap MCP differ from using Heap's built-in dashboards?
+

Heap dashboards require you to know what to look for and navigate the UI. Heap MCP lets AI agents proactively surface insights, answer open-ended questions, and combine Heap data with other sources — all in a conversational interface.

Is Heap MCP suitable for non-technical teams?
+

Yes. Improvado MCP translates natural language into Heap API queries, so product managers, marketers, and growth teams can explore behavioral data without needing SQL or Heap expertise.

Can Heap MCP trigger actions in other tools based on user behavior?
+

Improvado MCP is part of a broader ecosystem of connectors. Behavioral signals from Heap can inform write actions in CRMs, marketing tools, or customer success platforms — all orchestrated by an AI agent in a single workflow.

What is Heap MCP?
Heap MCP is a connection layer built by Improvado that allows AI agents to query behavioral analytics data from Heap using natural language. It extracts session, event, and funnel data from Heap and makes it available for AI-driven analysis and action.
What Heap data is accessible via MCP?
Via Improvado MCP, AI agents can access user events, session data, funnel steps, feature engagement metrics, and user segments. The specific data available depends on your Heap account configuration and API access.
Can Heap MCP be used without a data warehouse?
Yes. Improvado MCP queries Heap directly via its API, so teams can get behavioral insights into their AI agent without needing a data warehouse or ETL pipeline set up.
How does Heap MCP differ from using Heap's built-in dashboards?
Heap dashboards require you to know what to look for and navigate the UI. Heap MCP lets AI agents proactively surface insights, answer open-ended questions, and combine Heap data with other sources — all in a conversational interface.
Is Heap MCP suitable for non-technical teams?
Yes. Improvado MCP translates natural language into Heap API queries, so product managers, marketers, and growth teams can explore behavioral data without needing SQL or Heap expertise.
Can Heap MCP trigger actions in other tools based on user behavior?
Improvado MCP is part of a broader ecosystem of connectors. Behavioral signals from Heap can inform write actions in CRMs, marketing tools, or customer success platforms — all orchestrated by an AI agent in a single workflow.

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
46K+ Metrics