Pendo
 · MCP Server

Pendo MCP — Your Product Data, One Question Away

Improvado MCP extracts data from Pendo and makes it queryable by any AI agent. Ask about feature usage, guide engagement, and user behavior without opening a single dashboard.

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

Ask Any Question About Your Product Analytics

Improvado MCP connects your Pendo data to AI, so teams can query feature adoption, guide performance, NPS trends, and user segments in plain English — no SQL, no manual exports.

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

Act on Insights Without Leaving Your AI Workflow

Push updates, trigger guide changes, and segment users directly from your AI agent — without switching context or opening Pendo manually.

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

⚠️ Monitor

Stay Ahead of Product Adoption and Engagement Shifts

Monitor feature usage drops, guide dismissal spikes, and NPS changes automatically — your AI agent surfaces what matters before it becomes a problem.

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

Push updates, trigger guide changes, and segment users directly from your AI agent — without switching context or opening Pendo manually.

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

Challenge 1

Scattered Product Metrics

THE PROBLEM

Teams spend hours pulling Pendo reports manually to understand feature adoption and user engagement patterns.

HOW MCP SOLVES IT

Improvado MCP extracts Pendo data and makes it instantly queryable via AI — no manual exports needed.

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

Slow Guide Performance Audits

THE PROBLEM

Auditing guide effectiveness, dismissal rates, and completion metrics requires navigating multiple screens and manual tracking.

HOW MCP SOLVES IT

AI agents query guide performance directly and surface underperforming content in seconds.

Challenge 3

Delayed Response to Engagement Drops

THE PROBLEM

Sudden drops in feature usage or guide engagement go unnoticed until they impact product goals.

HOW MCP SOLVES IT

Continuous monitoring surfaces anomalies automatically — teams get alerts before issues escalate.

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 Pendo MCP?
+

Pendo MCP is an integration that connects Pendo data to AI agents via the Improvado MCP server. It allows teams to query feature usage, guide performance, and NPS scores using plain-language prompts.

What data does Improvado extract from Pendo?
+

Improvado extracts feature adoption metrics, guide engagement data, NPS scores, user segments, retention analytics, and behavioral trends from Pendo, making all of it queryable through connected AI agents.

Do I need to write code to use Pendo MCP?
+

No. Once Improvado MCP is configured, you interact with your Pendo data through plain-language prompts in your AI agent — no SQL or scripting required.

Can I monitor Pendo metrics automatically?
+

Yes. You can set up AI-driven monitoring that tracks feature usage, guide performance, and NPS trends — surfacing anomalies without manual review.

How is this different from the Pendo UI?
+

The Pendo UI is manual and siloed. Improvado MCP makes the same data available to AI agents that can query, correlate, and act on it alongside data from other tools.

Which AI agents work with Pendo MCP?
+

Improvado MCP works with any MCP-compatible AI agent, including Claude, custom LLM pipelines, and enterprise AI platforms that support the Model Context Protocol.

What is Pendo MCP?
Pendo MCP is an integration that connects Pendo data to AI agents via the Improvado MCP server. It allows teams to query feature usage, guide performance, and NPS scores using plain-language prompts.
What data does Improvado extract from Pendo?
Improvado extracts feature adoption metrics, guide engagement data, NPS scores, user segments, retention analytics, and behavioral trends from Pendo, making all of it queryable through connected AI agents.
Do I need to write code to use Pendo MCP?
No. Once Improvado MCP is configured, you interact with your Pendo data through plain-language prompts in your AI agent — no SQL or scripting required.
Can I monitor Pendo metrics automatically?
Yes. You can set up AI-driven monitoring that tracks feature usage, guide performance, and NPS trends — surfacing anomalies without manual review.
How is this different from the Pendo UI?
The Pendo UI is manual and siloed. Improvado MCP makes the same data available to AI agents that can query, correlate, and act on it alongside data from other tools.
Which AI agents work with Pendo MCP?
Improvado MCP works with any MCP-compatible AI agent, including Claude, custom LLM pipelines, and enterprise AI platforms that support the Model Context Protocol.

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