Builder Team Velocity Metrics

Builder Team Velocity Metrics MCP Connector for Claude

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Analyzes software team productivity using velocity, quality, and delivery speed metrics.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides a specialized analytics engine to evaluate software builder team productivity. It synthesizes sprint velocity, team capacity, cycle time, and defect rates into actionable insights. Use get_velocity_per_member to determine individual throughput, calculate_efficiency_score to balance output against quality, evaluate_delivery_speed to analyze pipeline flow, and identify_improvement_areas to pinpoint specific bottlenecks like Quality, Flow, or Capacity Utilization.

velocitymetricssoftware-engineeringteam-productivityagile

4 tools expose this connector's capabilities to your AI agent.

identify_improvement_areas

Pinpoints specific bottlenecks within the team's workflow

calculate_efficiency_score

Provides a single holistic metric of team performance by balancing output and quality

evaluate_delivery_speed

Analyzes how quickly the team moves work through the pipeline

get_velocity_per_member

Determines the individual throughput capacity of a team

See how to talk to your AI agent using Builder Team Velocity Metrics.

What is the individual throughput for a team of 5 members that completed 40 story points?

The velocity per member is 8 story points.

Our team has a 15% defect rate, 50 velocity, 1.2 maturity, and 1.0 complexity. What is our efficiency?

Your efficiency score is 0.85, which is rated as Optimal.

The team has a cycle time of 10 days and a complexity factor of 1.5. How is our delivery speed?

The delivery rhythm is currently Fluid.

The `calculate_efficiency_score` tool calculates a normalized value by balancing sprint velocity against the defect rate, while adjusting for team maturity and task complexity.

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