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Improvado MCP extracts data from dbt and makes it queryable by any AI agent. Ask about model performance, test failures, and lineage without opening a single dashboard.
Improvado MCP connects your dbt data to AI, so teams can query model run history, test results, freshness checks, and lineage metadata 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.
Trigger dbt runs, update model configurations, and manage documentation directly from your AI agent — without switching context or opening dbt Cloud manually.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Monitor test failures, run time anomalies, and freshness violations automatically — your AI agent surfaces what matters before it impacts downstream users.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
Trigger dbt runs, update model configurations, and manage documentation directly from your AI agent — without switching context or opening dbt Cloud manually.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
Teams spend hours pulling dbt logs and metadata manually to understand model health and pipeline performance.
Improvado MCP extracts dbt data and makes it instantly queryable via AI — no manual exports needed.
Tracing data lineage and understanding downstream impacts requires navigating complex DAGs and manual documentation review.
AI agents query lineage metadata directly and surface upstream dependencies and downstream impacts in seconds.
Test failures, stale data, and run time spikes go unnoticed until they cause downstream reporting issues.
Continuous monitoring surfaces anomalies automatically — teams get alerts before issues escalate.
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.
dbt MCP is an integration that connects dbt data to AI agents via the Improvado MCP server. It allows teams to query model runs, test results, lineage, and freshness checks using plain-language prompts.
Improvado extracts model run history, test results, data freshness checks, lineage metadata, and documentation from dbt, making all of it queryable through connected AI agents.
No. Once Improvado MCP is configured, you interact with your dbt data through plain-language prompts in your AI agent — no SQL or scripting required.
Yes. You can set up AI-driven monitoring that tracks test failures, run time anomalies, and freshness violations — surfacing issues without manual review.
The dbt Cloud 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.
Improvado MCP works with any MCP-compatible AI agent, including Claude, custom LLM pipelines, and enterprise AI platforms that support the Model Context Protocol.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.
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