Supabase MCP server integrationSupabase MCP server dashboards for database and application reports
Connect the Supabase MCP server to Chartbrew to explore database data through read-only tools. Turn query results into dashboards for application activity and operations.
What You Can Track
What you can report on with Supabase 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.
Account signups
Group accessible application account records by creation date.
Product activity
Summarize event tables with read-only queries.
Order totals
Aggregate order amounts by date and currency when stored in your schema.
Workflow status
Compare tasks, jobs, or requests by state.
Tenant usage
Group application records by the tenant identifier in your schema.
Data quality
Query missing fields or duplicate records without changing the database.
How It Works
From Supabase MCP connection to live dashboard
The Supabase MCP workflow is built around a source connection, reusable datasets, scheduled refreshes, and shareable dashboards.
Connect the MCP server
Select Supabase from the MCP connection list in Chartbrew. Connect the Supabase account and select the intended project. Keep read_only=true on the server URL and limit project access. Approve database read tools before creating datasets.
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 Supabase MCP
Use Supabase MCP results in recurring reports
Bring database and application reports 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 Supabase 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 Supabase MCP
Connect the Supabase account and select the intended project. Keep read_only=true on the server URL and limit project access. Approve database read tools before creating datasets.
Catalogue server URL: https://mcp.supabase.com/mcp?read_only=true
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
Example datasets
| Dataset idea | What it can power |
|---|---|
| Account signups | Group accessible application account records by creation date. |
| Product activity | Summarize event tables with read-only queries. |
| Order totals | Aggregate order amounts by date and currency when stored in your schema. |
| Workflow status | Compare tasks, jobs, or requests by state. |
| Tenant usage | Group application records by the tenant identifier in your schema. |
| Data quality | Query missing fields or duplicate records without changing the database. |
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.
Related Features
Tools for Supabase MCP reporting
Use Supabase MCP dashboards with Chartbrew automation, AI workflows, sharing, embeds, filters, and reporting tools.
Related Integrations
Related data sources
Blend Supabase MCP metrics with product, customer, revenue, analytics, project, and operational data from other Chartbrew sources.
FAQ
Supabase MCP integration questions
Practical details about using Supabase MCP data in Chartbrew dashboards.
Connect Supabase MCP
Build a report from your Supabase MCP server
Connect the server, approve read tools, and check your first dataset before you build the dashboard.
