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.
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.
"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 minPush updates, optimize configurations, and manage shared resources directly from your AI agent — without switching context or opening MotherDuck manually.
"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 minMonitor query performance, resource consumption, and database activity automatically — your AI agent surfaces what matters before it becomes a problem.
"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 → autoYour 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.
One conversation. All six phases. Every platform.
Teams spend hours pulling MotherDuck stats manually to understand query performance and database usage patterns.
Improvado MCP extracts MotherDuck data and makes it instantly queryable via AI — no manual exports needed.
Auditing shared databases, resource consumption, and inactive data assets requires navigating multiple screens and manual tracking.
AI agents query database state directly and surface underutilized or risky assets in seconds.
Query slowdowns or unexpected resource spikes go unnoticed until they cause downstream issues.
Continuous monitoring surfaces anomalies automatically — teams get alerts before issues escalate.
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.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.
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