# Measure Instructor Performance in Accelerators. AI Agent Connect

> Accelerator Instructor Effectiveness helps you evaluate the quality of training delivery. This MCP calculates a single effectiveness score based on attendance, participant satisfaction, and outcome data. You can track performance changes over time or find the best fit instructors for new curriculum topics. It gives program managers the metrics they need to keep training programs running smoothly.

## Overview
- **Category:** education
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_VP4WeO1Ug12b05Xj97Rt2IBpKKfpPwDEj9AyjAVO/ai-agent-connect
- **Tags:** instructor, metrics, performance, accelerator, education-analytics

## Description

You manage accelerator programs and need to know if your instructors are hitting their stride. This MCP gives you the metrics to prove it. It calculates a single effectiveness score by weighing attendance, participant satisfaction, and actual learning outcomes. Need to know if an instructor's performance is trending up or down? You can check that. Or maybe you're launching a new module and need a perfect match? This MCP finds the best instructors for a specific topic or teaching style. It moves you past gut feelings and straight into data-backed decisions.

## Tools

### get_effectiveness_trend
Determine if an instructor's performance is improving, declining, or staying consistent

### recommend_instructors
Suggest the most suitable instructors for a specific upcoming curriculum or session

### get_instructor_score
Calculate a single, comprehensive effectiveness score for a specific instructor

## Prompt Examples

**Prompt:** 
```
What is the effectiveness score for instructor ID 'inst_99' with 90% attendance, 8.5 satisfaction, 0.7 correlation, and 50% repeat rate?
```

**Response:** 
```
The instructor 'inst_99' has a total effectiveness score of 82 and is currently categorized as 'Elite'.
```

**Prompt:** 
```
Is the performance of instructor 'inst_42' improving based on these scores: 75, 80, 85?
```

**Response:** 
```
Yes, the performance for 'inst_42' is showing an 'Upward' trend with a positive momentum score.
```

**Prompt:** 
```
Recommend instructors for a 'Product Management' workshop with a 'Coaching' style and a minimum score of 80.
```

**Response:** 
```
I found 2 instructors matching your criteria: Sarah Jenkins and Michael Chen.
```

## Capabilities

### Calculate Overall Score
The AI uses this tool when you need a single, quantifiable metric of an instructor's overall performance.

### Track Performance Changes
You ask the AI to analyze if an instructor's performance is trending up, down, or staying flat over time.

### Find Best Matches
The AI uses this tool when you are planning a new session and need to find the most qualified instructors for a specific topic.

## Use Cases

### Launching a New Module
You're adding 'Advanced Finance' to the curriculum. You ask the MCP to recommend instructors who specialize in finance and have a high score.

### Reviewing a Cohort
After a program ends, you want to know the average effectiveness score for the entire group of instructors who taught that cohort.

### Identifying At-Risk Staff
You notice a specific instructor's scores are dipping. You use the trend analysis tool to confirm if the decline is recent or part of a long-term pattern.

### Resource Allocation
You need to staff three different workshops next month. You use the MCP to find three different instructors who meet specific topic and style requirements.

## Benefits

- You move beyond relying on gut feelings by using hard metrics like attendance and satisfaction scores.
- The MCP pinpoints performance gaps, telling you exactly where an instructor's skills need improvement.
- You save time by letting the AI automatically match available instructors to new curriculum needs.
- You get a clear picture of performance trajectories, helping you predict future resource needs.

## How It Works

Connecting this MCP is simple. You connect your preferred AI client to the Vinkius catalog, and the tools become instantly available to your agent.

1. Connect your AI client (Claude, Cursor, etc.) to the Vinkius marketplace.
2. Select the Accelerator Instructor Effectiveness MCP.
3. Ask your agent a specific question, like 'What is the score for X?' or 'Recommend for Y.'
4. The MCP executes the necessary tool call, and your agent delivers the final, actionable answer.

## Frequently Asked Questions

**What data points does this MCP use to calculate an instructor's score?**
The MCP calculates the score using three main data points: attendance records, participant satisfaction ratings, and outcome correlation data. This gives a full view of effectiveness.

**Can I use this to predict if an instructor will improve?**
Yes, you can check the performance trend. The MCP determines if an instructor's performance is currently improving, declining, or staying consistent based on historical scores.

**Does this require me to manage credentials?**
No. Vinkius hosts and manages the credentials for this MCP. You connect once from your AI client and get immediate access to the tools.

**Is this only for large companies?**
No. This MCP is designed for any organization running accelerator programs or structured training that needs professional performance metrics.

**What if I don't know the instructor's ID?**
The tools are designed to accept various inputs, including specific IDs, or general criteria like topic and style, depending on the function you call.