MCP For Claude Marketplace
Sprint Velocity Trend

Sprint Velocity Trend MCP Connector for Claude

A+

Analyzes historical sprint performance to forecast capacity and identify velocity patterns.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides advanced analytics for agile teams to monitor and predict their throughput. By connecting to Vinkius Edge, AI agents can use tools like get_velocity_summary to assess efficiency trends, forecast_future_capacity to project upcoming work limits, and analyze_scope_impact to measure the effect of unplanned work. It also includes calculate_normalized_velocity to ensure fair comparisons when team sizes change over time.

sprintvelocitycapacityagilescrumforecasting

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

calculate_normalized_velocity

Adjusts historical velocity to account for changes in team size

forecast_future_capacity

Predicts how much work the team can realistically take on in upcoming sprints

get_velocity_summary

Provides a high-level overview of historical performance and current efficiency trends

analyze_scope_impact

Evaluates how unplanned work (scope creep) is affecting the team's ability to meet commitments

See how to talk to your AI agent using Sprint Velocity Trend.

What is our current velocity trend based on these completed points: [20, 22, 25, 28] and a team size of 5?

Your team is showing an improving trend with an average velocity of 23.75 story points.

Predict our capacity for the next sprint. We have completed [30, 35, 32] points, a team of 6, and we planned for 35 points.

The projected velocity is 32.33 story points, leaving a capacity buffer of 2.67 points.

How much scope creep did we have if we planned 40 points but only completed 30, 35, and 32 in recent sprints?

The analysis shows a significant deviation between planned and completed work, indicating high instability in recent sprints.

It provides data-driven forecasts. For example, using `forecast_future_capacity` allows an agent to suggest a realistic workload based on your team's historical performance and current size.

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