MotherDuck MCP — Your Cloud Analytics, One Question Away
Improvado MCP extracts data from MotherDuck and makes it queryable by any AI agent. Ask about query performance, database usage, and shared analytics without opening a single dashboard.
46K+ metrics · Read & Write access · 500+ platforms · <60s setup
Ask Any Question About Your Cloud Analytics Platform
Improvado MCP connects your MotherDuck data to AI, so teams can query database performance, shared data usage, and query history 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.
Which queries consumed the most resources today?
45 min → 30 sec
Show all shared databases accessed this month
Manual → auto
What's our average query execution time trend?
2 hrs → 1 min
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
Optimize queries running longer than 10 seconds
1 hr → 2 min
Update sharing permissions for analytics database
Manual → auto
Archive unused databases older than 90 days
3 hrs → 5 min
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
Act on Insights Without Leaving Your AI Workflow
Push updates, optimize configurations, and manage shared resources directly from your AI agent — without switching context or opening MotherDuck manually.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Stay Ahead of Performance Issues and Usage Spikes
Monitor query performance, resource consumption, and database activity 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.
Alert if query execution time increases 50%
Daily manual → auto
Which databases haven't been queried in 30 days?
Weekly report → instant
Track resource usage spikes across all databases
Manual → auto
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
One conversation. All six phases. Every platform.
The Closed Loop: Read → Decide → Write → Monitor
Push updates, optimize configurations, and manage shared resources directly from your AI agent — without switching context or opening MotherDuck manually.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
Scattered Performance Metrics
THE PROBLEM
Teams spend hours pulling MotherDuck stats manually to understand query performance and database usage patterns.
HOW MCP SOLVES IT
Improvado MCP extracts MotherDuck data and makes it instantly queryable via AI — no manual exports needed.
Show query performance trends for all databases
Try asking
"Show ROAS across all 120 accounts"
⚡
Answer in seconds
All data sources, one query
List all databases with no activity in 60 days
Try asking
"What's my CPL in New York vs. California?"
🔍
Full detail preserved
No data loss on export
Slow Database Audits
THE PROBLEM
Auditing shared databases, resource consumption, and inactive data assets requires navigating multiple screens and manual tracking.
HOW MCP SOLVES IT
AI agents query database state directly and surface underutilized or risky assets in seconds.
Delayed Response to Performance Issues
THE PROBLEM
Query slowdowns or unexpected resource spikes go unnoticed until they cause downstream issues.
HOW MCP SOLVES IT
Continuous monitoring surfaces anomalies automatically — teams get alerts before issues escalate.
Flag databases with resource usage above 150% baseline
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
MotherDuck MCP is an integration that connects MotherDuck data to AI agents via the Improvado MCP server. It allows teams to query database performance, shared analytics, and usage metrics using plain-language prompts.
What data does Improvado extract from MotherDuck?
+
Improvado extracts query execution metrics, database usage statistics, shared data analytics, and resource consumption data from MotherDuck, making all of it queryable through connected AI agents.
Do I need to write code to use MotherDuck MCP?
+
No. Once Improvado MCP is configured, you interact with your MotherDuck data through plain-language prompts in your AI agent — no SQL or scripting required.
Can I monitor MotherDuck performance automatically?
+
Yes. You can set up AI-driven monitoring that tracks query performance, resource usage, and database activity — surfacing anomalies without manual review.
How is this different from the MotherDuck UI?
+
The MotherDuck 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 MotherDuck 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 MotherDuck MCP?
MotherDuck MCP is an integration that connects MotherDuck data to AI agents via the Improvado MCP server. It allows teams to query database performance, shared analytics, and usage metrics using plain-language prompts.
What data does Improvado extract from MotherDuck?
Improvado extracts query execution metrics, database usage statistics, shared data analytics, and resource consumption data from MotherDuck, making all of it queryable through connected AI agents.
Do I need to write code to use MotherDuck MCP?
No. Once Improvado MCP is configured, you interact with your MotherDuck data through plain-language prompts in your AI agent — no SQL or scripting required.
Can I monitor MotherDuck performance automatically?
Yes. You can set up AI-driven monitoring that tracks query performance, resource usage, and database activity — surfacing anomalies without manual review.
How is this different from the MotherDuck UI?
The MotherDuck 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 MotherDuck 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
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