# Sprint Velocity Trend AI Agent Connect

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

## Overview
- **Category:** project-management
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_9hB0jkiOjpzuDFzIgvrFQLWQl8wTDoIPsohYDPNQ/ai-agent-connect
- **Tags:** sprint, velocity, capacity, agile, scrum, forecasting

## Description

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.

## Tools

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

### 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

## Prompt Examples

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

**Response:** 
```
Your team is showing an improving trend with an average velocity of 23.75 story points.
```

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

**Response:** 
```
The projected velocity is 32.33 story points, leaving a capacity buffer of 2.67 points.
```

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

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

## Frequently Asked Questions

**How does this tool help with sprint planning?**
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.

**Can I account for changes in team size?**
Yes, the `calculate_normalized_velocity` tool adjusts historical data to account for team scaling, ensuring your velocity trends remain accurate even as the team grows or shrinks.

**How is scope creep measured?**
The `analyze_scope_impact` tool compares planned points against completed points to calculate the creep percentage and stability index of your sprints.