Linear MCP server integrationLinear MCP server dashboards for issues and project progress
Connect the Linear MCP server to Chartbrew to report on team issues and projects. Use approved read-only tools to build workload tables, backlog views, and delivery dashboards.
What You Can Track
What you can report on with Linear 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.
Issues by status
Compare returned issues across your team workflow.
Assignee workload
Group open issues by assignee for planning reviews.
Project progress
Inspect project status and associated issue data.
Priority distribution
Compare issue counts by priority within the selected scope.
Due work
List issues with due dates for upcoming delivery reviews.
Recently updated issues
Track changes returned for the reporting period.
How It Works
From Linear MCP connection to live dashboard
The Linear MCP workflow is built around a source connection, reusable datasets, scheduled refreshes, and shareable dashboards.
Connect the MCP server
Select Linear from the MCP connection list in Chartbrew. Select Linear and authenticate with an account that can access your teams and projects. The catalogue uses the read-only endpoint. Set a team or project scope before fetching issues.
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 Linear MCP
Use Linear MCP results in recurring reports
Bring issues and project progress 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 Linear 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 Linear MCP
Select Linear and authenticate with an account that can access your teams and projects. The catalogue uses the read-only endpoint. Set a team or project scope before fetching issues.
Catalogue server URL: https://mcp.linear.app/mcp/readonly
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 |
|---|---|
| Issues by status | Compare returned issues across your team workflow. |
| Assignee workload | Group open issues by assignee for planning reviews. |
| Project progress | Inspect project status and associated issue data. |
| Priority distribution | Compare issue counts by priority within the selected scope. |
| Due work | List issues with due dates for upcoming delivery reviews. |
| Recently updated issues | Track changes returned for the reporting period. |
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 Linear MCP reporting
Use Linear MCP dashboards with Chartbrew automation, AI workflows, sharing, embeds, filters, and reporting tools.
Related Integrations
Related data sources
Blend Linear MCP metrics with product, customer, revenue, analytics, project, and operational data from other Chartbrew sources.
FAQ
Linear MCP integration questions
Practical details about using Linear MCP data in Chartbrew dashboards.
Connect Linear MCP
Build a report from your Linear MCP server
Connect the server, approve read tools, and check your first dataset before you build the dashboard.
