Engineering data is only as valuable as your ability to act on it. That’s where LinearB’s Model Context Protocol (MCP) server comes in. It bridges your engineering systems and AI, turning raw metrics and reports into actionable intelligence.
With the LinearB MCP Server, you can dynamically converse with your data and build custom reports using natural language and out-of-the-box prompts. Tap into the LinearB metrics suite, which includes delivery, quality, throughput, DevEx, DORA indicators, and custom metrics. Ask questions, drill into patterns, and generate reports that give leaders, managers, and developers the clarity to act confidently.
Let’s explore powerful use cases, organized by persona.
Engineering leaders: Benchmark and scale best practices across teams
As a leader, you need more than a performance snapshot. You also need context. Scaling success across squads requires visibility into the practices that drive excellence and inefficiencies that are holding you back.
With the MCP server, you can benchmark performance, identify what enables top contributors, and replicate those strategies across the organization.
Applications:
- Benchmark delivery, quality, and throughput metrics across teams to spot strengths and gaps.
- Identify best practices from top contributors and scale them across the org.
- Track consistency to identify if workflows or repos lag consistently, signaling systematic inefficiencies.
- Align internal metrics with industry benchmarks
Team leads and managers: Coach with confidence
Coaching isn’t about instincts; it’s about data-driven insights that make growth conversations meaningful. You need to know where individuals excel and where targeted support matters.
LinearB’s MCP server surfaces contributor-level patterns in productivity, quality, and collaboration. With proper context, you can clearly guide one-on-one conversations and drive continuous improvement.
Applications:
- Spot productivity patterns around coding frequency or time allocation, and drill into specifics.
- Surface quality insights by tracking review participation and the balance of new code vs. rework.
- Reveal efficiency gaps by breaking down coding, reviewing, and deployment times.
- Provide actionable feedback using precise data to move coaching conversations from subjective to evidence-based reports.
Executives: Create and curate custom reporting
Executives and cross-functional partners often want answers, not dashboards. The LinearB MCP server makes engineering data accessible by letting you ask questions in natural language to generate tailored reports instantly.
Applications:
- Deliver metrics that matter most, from merge rate to lead time, to empower executives with data they can use.
- Run on-demand queries, such as “Show me cycle time trends for the frontend repo over the last six months,” to get answers instantly.
- Filter flexibly by teams, contributors, repositories, and timeframes.
Getting started
These use cases only scratch the surface. With the MCP server, you can turn raw engineering activity into actionable insight. Interactive reports, custom benchmarks, and predictive insights give you the tools to scale best practices, coach confidently, and communicate engineering value across the business.
To help you get started, our MCP server includes prebuilt prompts you can use and customize to your needs:
- Merge rate report: Track code delivery velocity and spot bottlenecks before they block progress.
- Lead time report: Measure time from work start to completion for predictable delivery times.
- Urgent PR report: Identify and resolve critical pull requests that delay deployments
- Release report: Fetch PRs tied to specific releases for precise version control and deployment tracking.
Stay tuned as the LinearB MCP Server will be released soon! Meanwhile, register for our live product demo on October 8 to see it in action.