DuckDB MCP — Your Analytical Database, Instantly Queryable
Improvado MCP extracts data from DuckDB and makes it queryable by any AI agent. Ask about table stats, query performance, and analytical results without writing a single SQL statement.
46K+ metrics · Read & Write access · 500+ platforms · <60s setup
Ask Any Question About Your DuckDB Analytics
Improvado MCP connects your DuckDB data to AI, so teams can query table statistics, performance metrics, and embedded analytics results 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.
What are the largest tables in DuckDB?
30 min → 20 sec
Show query performance for last 24 hours
Manual → auto
Which tables were updated most recently?
1 hr → 30 sec
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 all tables larger than 1GB
2 hrs → 3 min
Update memory limit configuration to 8GB
Manual → auto
Archive tables with no queries in 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 Database Insights Without Leaving Your AI Workflow
Optimize tables, update configurations, and trigger maintenance tasks directly from your AI agent — without switching context or opening DuckDB manually.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Stay Ahead of Database Performance Issues
Monitor query slowdowns, table growth spikes, and resource usage 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 any query takes over 30 seconds
Daily manual → auto
Which tables grew more than 50% this week?
Weekly report → instant
Track memory usage spikes above 80%
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
Optimize tables, update configurations, and trigger maintenance tasks directly from your AI agent — without switching context or opening DuckDB manually.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
Scattered Database Metrics
THE PROBLEM
Teams spend hours running manual queries to understand DuckDB table sizes, row counts, and performance patterns.
HOW MCP SOLVES IT
Improvado MCP extracts DuckDB data and makes it instantly queryable via AI — no manual exports needed.
Show all tables with row counts and sizes
Try asking
"Show ROAS across all 120 accounts"
⚡
Answer in seconds
All data sources, one query
List slowest queries from the past week
Try asking
"What's my CPL in New York vs. California?"
🔍
Full detail preserved
No data loss on export
Slow Performance Analysis
THE PROBLEM
Analyzing query performance and identifying bottlenecks requires technical expertise and time-consuming manual investigation.
HOW MCP SOLVES IT
AI agents query database state directly and surface slow queries or resource issues in seconds.
Delayed Response to Resource Issues
THE PROBLEM
Memory spikes, table bloat, and performance degradation go unnoticed until they impact production workloads.
HOW MCP SOLVES IT
Continuous monitoring surfaces anomalies automatically — teams get alerts before issues escalate.
Flag any table that doubled in size today
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
DuckDB MCP is an integration that connects DuckDB data to AI agents via the Improvado MCP server. It allows teams to query table statistics, performance metrics, and analytical results using plain-language prompts.
What data does Improvado extract from DuckDB?
+
Improvado extracts table metadata, row counts, query performance logs, memory usage, and schema information from DuckDB, making all of it queryable through connected AI agents.
Do I need to write SQL to use DuckDB MCP?
+
No. Once Improvado MCP is configured, you interact with your DuckDB data through plain-language prompts in your AI agent — no SQL or scripting required.
Can I monitor DuckDB performance automatically?
+
Yes. You can set up AI-driven monitoring that tracks query performance, table growth, and resource usage — surfacing anomalies without manual review.
How is this different from querying DuckDB directly?
+
Direct querying requires SQL knowledge and manual effort. 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 DuckDB 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 DuckDB MCP?
DuckDB MCP is an integration that connects DuckDB data to AI agents via the Improvado MCP server. It allows teams to query table statistics, performance metrics, and analytical results using plain-language prompts.
What data does Improvado extract from DuckDB?
Improvado extracts table metadata, row counts, query performance logs, memory usage, and schema information from DuckDB, making all of it queryable through connected AI agents.
Do I need to write SQL to use DuckDB MCP?
No. Once Improvado MCP is configured, you interact with your DuckDB data through plain-language prompts in your AI agent — no SQL or scripting required.
Can I monitor DuckDB performance automatically?
Yes. You can set up AI-driven monitoring that tracks query performance, table growth, and resource usage — surfacing anomalies without manual review.
How is this different from querying DuckDB directly?
Direct querying requires SQL knowledge and manual effort. 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 DuckDB 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
.png){kind=logo}
.png)
