.png){kind=logo}
Improvado's Metabase MCP server connects your Metabase dashboards and databases to AI agents. Ask about metrics, dashboard data, and query results in plain English. Works with Claude, ChatGPT, Cursor, and any MCP-compatible tool.
Stop building new Questions for every data request. Ask your AI agent what the data in your Metabase dashboards and databases shows — KPIs, trends, breakdowns — without touching the question builder.
Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.
Turn database queries and dashboard data into formatted summaries, slide-ready tables, and stakeholder reports automatically. Your AI agent assembles the output — you just describe what you need.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Set up threshold watches on your most important Metabase metrics. Your AI agent monitors dashboard values and alerts you when numbers move outside expected ranges.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
Turn database queries and dashboard data into formatted summaries, slide-ready tables, and stakeholder reports automatically. Your AI agent assembles the output — you just describe what you need.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
Metabase's Question builder is powerful but requires SQL knowledge or GUI familiarity to use effectively. Every ad hoc request from a stakeholder — even a simple one — means creating a new question, waiting for the query to run, and formatting the result. Analysts become the bottleneck.
Improvado extracts Metabase question results and database snapshots into a queryable layer. The MCP server translates stakeholder questions into data answers directly — no new Questions, no analyst bottleneck.
Metabase dashboards live in Metabase. When teams want to include dashboard data in external reports, Slack updates, or automated summaries, they have to manually screenshot or copy numbers. There's no programmatic way to extract dashboard metric values for use elsewhere.
Improvado pulls Metabase dashboard and question results into its data model. The MCP server makes those results available to your AI agent, which can include them in reports, summaries, or alerts — without anyone opening Metabase.
Metabase connects to databases but doesn't join across them natively. If your product data is in Postgres and your marketing data is in BigQuery, answering questions that span both requires writing raw SQL or building a custom data pipeline. Most business users simply can't do this.
Improvado normalizes data from multiple Metabase-connected databases into one unified layer. Ask the MCP server questions that span databases — product events joined with marketing spend — and get answers without SQL.
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.
Metabase question results, dashboard card data, database schemas, collection structure, and query output from connected databases. Improvado normalizes this so your AI agent can answer questions about your business metrics without building new Metabase questions or writing SQL.
Yes. Improvado can connect directly to the same databases Metabase uses — Postgres, BigQuery, Snowflake, MySQL, and others. The MCP server executes queries on your behalf, returning results in natural language format without requiring you to write SQL or configure Metabase questions.
Improvado connects to Metabase using API credentials that require appropriate permissions for the collections and databases you want to query. Admin access is not required for read-only use cases — a standard user token with access to the relevant collections and databases is sufficient.
Metabase's AI features are embedded within the Metabase interface and limited to Metabase's own question-building flow. Improvado's MCP server makes your data available to any AI tool you already use — Claude, Cursor, ChatGPT — in your existing workflow. You can also combine Metabase data with 500+ other platforms in the same query session.
Yes, the Metabase MCP integration can retrieve results from your existing saved questions, collections, and dashboards using the Metabase API. This means you can reference pre-built metrics your analytics team has already defined rather than recreating logic from scratch. The integration can also execute ad-hoc queries against connected databases through Metabase's query API, giving you flexibility for both structured and exploratory analysis.
Yes, the integration supports both Metabase Cloud and self-hosted Metabase instances, as long as the Metabase API endpoint is reachable from the integration layer. For on-premises deployments, you will need to ensure that the host running the MCP connection can reach your internal Metabase URL, typically via network allowlisting or a secure tunnel. Authentication uses Metabase's session token or API key mechanism, and no data leaves your environment except through the API calls you explicitly trigger.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.
.png)
