Sentry MCP server integrationSentry MCP server dashboards for errors and application health
Connect the Sentry MCP server to Chartbrew for error and application health reporting. Explore issues and performance data with approved tools, then chart structured results.
What You Can Track
What you can report on with Sentry 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.
Issue volume
Compare issue counts for a defined project and period.
Error trends
Chart returned error totals over time.
Affected users
Show user impact when the tool returns user counts.
Project health
Compare errors across projects you can access.
Release review
Inspect error data by release when that field is available.
Performance results
Chart returned duration or performance measurements with explicit units.
How It Works
From Sentry MCP connection to live dashboard
The Sentry MCP workflow is built around a source connection, reusable datasets, scheduled refreshes, and shareable dashboards.
Connect the MCP server
Select Sentry from the MCP connection list in Chartbrew. Sign in to Sentry with access to the organization and projects you need. You can scope the remote endpoint to an organization or project. Approve only the read tools used in your report.
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 Sentry MCP
Use Sentry MCP results in recurring reports
Bring errors and application health 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 Sentry 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 Sentry MCP
Sign in to Sentry with access to the organization and projects you need. You can scope the remote endpoint to an organization or project. Approve only the read tools used in your report.
Catalogue server URL: https://mcp.sentry.dev/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
Example datasets
| Dataset idea | What it can power |
|---|---|
| Issue volume | Compare issue counts for a defined project and period. |
| Error trends | Chart returned error totals over time. |
| Affected users | Show user impact when the tool returns user counts. |
| Project health | Compare errors across projects you can access. |
| Release review | Inspect error data by release when that field is available. |
| Performance results | Chart returned duration or performance measurements with explicit units. |
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 Sentry MCP reporting
Use Sentry MCP dashboards with Chartbrew automation, AI workflows, sharing, embeds, filters, and reporting tools.
Related Integrations
Related data sources
Blend Sentry MCP metrics with product, customer, revenue, analytics, project, and operational data from other Chartbrew sources.
FAQ
Sentry MCP integration questions
Practical details about using Sentry MCP data in Chartbrew dashboards.
Connect Sentry MCP
Build a report from your Sentry MCP server
Connect the server, approve read tools, and check your first dataset before you build the dashboard.
