pendo · MCP Server

Pendo + Improvado MCP — 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.

Example prompts

"Which features had highest adoption this quarter?"

45 min → 30 sec

"Show NPS scores by user segment last month"

Manual → auto

"What's the completion rate for onboarding guides?"

2 hrs → 1 min

Works with Claude ChatGPT Cursor +5

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.

Example prompts

"Update tooltip text for checkout feature"

1 hr → 2 min

"Create segment for users who dropped off"

Manual → auto

"Disable low-performing guides across all apps"

3 hrs → 5 min

Every action logged · Fully reversible · SOC 2 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.

Example prompts

"Alert if feature usage drops below 20%"

Daily manual → auto

"Which guides have dismissal rates above 50%?"

Weekly report → instant

"Track NPS trend changes by segment weekly"

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

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 feature adoption trends for last 90 days

Answer in seconds

All data sources, one query

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.

Try asking

List all guides with completion under 30%

Full detail preserved

No data loss on export

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

Flag features with 40% usage drop 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 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