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MotherDuck MCP server dashboards for warehouse and SQL reporting

Connect the MotherDuck MCP server to Chartbrew to explore warehouse data with SQL tools. Turn read-only query results into dashboards for revenue, usage, and operations.

Reports / MotherDuck MCP

Warehouse revenue analysis

Report date range
Filter by region
Sample data

Order revenue

Jan – Jun 2026

$134,100

Orders

Jan – Jun 2026

1,618

New customers

Jan – Jun 2026

496

Refunds

Jan – Jun 2026

$2,270

Order revenue

Jan – Jun 2026
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Order revenue by region

Jan – Jun 2026
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MotherDuck MCP · region breakdown

RegionOrder revenueOrdersNew customersRefunds
Americas$67,050810249$1,135
Europe$40,230485148$681
Asia Pacific$26,82032399$454
Read-only tools
Reusable datasets
Shared reports
Scheduled refreshes
Open source

What You Can Track

What you can report on with MotherDuck MCP

Use these reporting ideas when the connected server exposes the required read tools and fields. Tool access, account permissions, and result limits determine what you can retrieve.

Warehouse totals

Aggregate measures from the reporting tables you can read.

Revenue trends

Group revenue records by date and currency.

Product usage

Summarize usage events by account or product.

Customer segments

Compare groups defined by your warehouse fields.

Operational queues

Count pending, completed, or failed records by state.

Data freshness

Inspect the latest timestamps in source tables.

How It Works

From MotherDuck MCP connection to live dashboard

The MotherDuck MCP workflow is built around a source connection, reusable datasets, scheduled refreshes, and shareable dashboards.

  • Connect the MCP server

    Select MotherDuck from the MCP connection list in Chartbrew. Use the remote MotherDuck endpoint with credentials permitted by your organization. Confirm database access and approve only read-only query tools. Inspect table names and column types before querying.

  • Review and approve read tools

    Test the connection and inspect the discovered tools. Approve the tools needed for AI exploration and datasets. Server access alone does not approve every tool.

  • Preview a dataset

    Choose a tool, set its arguments, and preview the response. Select the output rows and fields. Check dates, units, filters, and result limits before saving.

  • Build and share the report

    Create charts from the saved dataset. Add them to a dashboard, set a refresh schedule, and share the report with the intended viewers.

Why Chartbrew for MotherDuck MCP

Use MotherDuck MCP results in recurring reports

Bring warehouse and SQL reporting into a report that your team can inspect and share.

Control tool access

Approve read tools for the reporting task and review changes when the server tool definitions change.

Inspect the source result

Keep tool arguments and output selection available for review instead of relying only on an AI summary.

Reuse reporting datasets

Build charts from saved tool configurations when the response has suitable rows and fields.

Compare with other sources

Place MotherDuck MCP results beside revenue, product, or operational data from other connections.

Refresh saved results

Schedule dataset updates. Refreshes still depend on valid authentication, tool approval, and provider limits.

Share selected results

Give report viewers the dashboard data they need without asking them to configure an MCP connection.

Setup Requirements

Connect MotherDuck MCP

Use the remote MotherDuck endpoint with credentials permitted by your organization. Confirm database access and approve only read-only query tools. Inspect table names and column types before querying.

Catalogue server URL: https://api.motherduck.com/mcp

Permission to read the source records and approve the required tools in Chartbrew

A tool response with usable rows or structured fields; a prose answer alone may not work as a dataset

A defined reporting scope, date range, and plan for result limits; MCP results are not automatically paginated

Read the official MotherDuck MCP server documentation

Example datasets

Dataset ideaWhat it can power
Warehouse totalsAggregate measures from the reporting tables you can read.
Revenue trendsGroup revenue records by date and currency.
Product usageSummarize usage events by account or product.
Customer segmentsCompare groups defined by your warehouse fields.
Operational queuesCount pending, completed, or failed records by state.
Data freshnessInspect the latest timestamps in source tables.

Setup Guide

Read how external MCP connections work in Chartbrew v6

See the difference between bringing external MCP data into Chartbrew and connecting an AI app to Chartbrew's own server.

Read guide

Related Integrations

Related data sources

Blend MotherDuck MCP metrics with product, customer, revenue, analytics, project, and operational data from other Chartbrew sources.

FAQ

MotherDuck MCP integration questions

Practical details about using MotherDuck MCP data in Chartbrew dashboards.

Connect MotherDuck MCP

Build a report from your MotherDuck MCP server

Connect the server, approve read tools, and check your first dataset before you build the dashboard.

Get started for free