Features
MCP Server
Stop digging through dashboards. Just ask.
Converse with your data to identify patterns, build custom reports, and get recommendations on the fly to boost AI productivity.
Accelerating the future of engineering
Get answers on demand
Build custom dashboards
Eliminate manual analysis and generate tailored reports that inform and drive executive alignment.
Diagnose blockers
Assess risks and bottlenecks by surfacing development pipeline issues such as incidents or long wait times.
Resolve issues fast
Access actionable recommendations such as AI code reviews, smart routing, and automated PR labels to improve workflows.
Engineering intelligence at your fingertips
Delivery efficiency assessments
Assess delivery speed, output, and productivity by tracking cycle time, throughput, and code quality metrics.
Team performance trends
Identify best practices from teams, repos, and contributors across all metrics with industry benchmarking.
AI-powered insights
Ask questions and drill into patterns, using natural language, to synthesize data and get actionable insights.
We keep finding use cases where we're like, ‘Hey, we'll just use LinearB automation for this.’ So it's not been a one-stop shop for us. Every time we see an opportunity to automate low-hanging fruit – like PR cleanliness for example – we take it.
Bart Dziekan
Head of Cloud Solutions, SurveyMonkey
Start your MCP journey with pre-built prompts
You don’t have to start from scratch. Begin your MCP journey with our ready-to-use prompts for common use cases.
