MCP
V7 Go acts as an AI-powered MCP within Linear, enabling intelligent issue prioritisation, sprint health monitoring, and team routing. New issue in Linear → AI analysis and intelligent action, all within your existing workspace.
Example
Workflow triggers
Agents trigger automated actions in your apps
How does V7 Go handle New Issue inside Linear?
V7 Go acts as an AI intelligence layer directly within Linear, analysing each New Issue in real time. The ai-project-tracking-agent extracts key signals, identifies patterns, and determines the optimal action — all within your existing Linear workspace without any manual intervention.
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Can I customise the AI Issue Intelligence & Sprint Health logic?
Absolutely. V7 Go's MCP configuration lets you define custom prompts, business rules, escalation thresholds, and decision criteria that match your exact software development workflows. No coding required — configure once and the AI adapts to your specific processes.
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What happens when the AI needs human input?
V7 Go surfaces uncertain cases for human review with full AI reasoning shown. Your team reviews, approves, or overrides — and each decision trains the system to handle similar cases automatically going forward, making your software development workflows smarter over time.
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How does the output get written back to Linear?
V7 Go executes actions directly within Linear using its native API — updating records, creating tasks, posting notes, or triggering downstream workflows — within seconds of the triggering event. No data leaves your Linear environment unnecessarily.
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Is my data secure with V7 Go MCP?
Yes. V7 Go processes all Linear data within your secure infrastructure. Sensitive fields can be masked or excluded, and all data is encrypted in transit and at rest to enterprise security standards. V7 Go is SOC 2 compliant and respects your existing Linear access controls.
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How quickly will I see ROI from AI Issue Intelligence & Sprint Health?
Most teams see measurable time savings within the first week — fewer manual tasks, faster response times, and higher data quality. Strategic impact from better software development decisions typically compounds over the following months as the AI learns your specific patterns and priorities.
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