- METRIC
- DATA
- ANALYSIS
- HUMAN
Short answer
How can I get instructor effectiveness scores using AI?
Your agent uses get_instructor_score to pull raw data and turn it into a single, quantifiable metric. You'll get a specific number for any instructor based on their performance. Here is the breakdown of how it works.
The results you get
Performance metrics delivered
The AI turns raw instructor data into clear, usable numbers.
METRIC
Single score output
The agent provides one clear number for an instructor. You get a direct answer instead of a spreadsheet of raw data.
DATA
Verified performance
The AI pulls directly from your instructor records. This ensures the score reflects actual activity and feedback.
ANALYSIS
Trend identification
Once you have the scores, you can ask your agent to compare different instructors or look for patterns over time.
HUMAN
Manual review needed
The AI provides the number, but you decide how to use it for coaching or hiring. It doesn't make personnel decisions for you.
The workflow
What your AI does when the request arrives.
The AI handles the data retrieval and calculation so you don't have to crunch numbers manually.
Identify instructor
Your agent looks up the specific instructor in your connected system to ensure it pulls the right profile.
get_instructor_scoreFetch performance data
The agent pulls the necessary metrics and feedback logs associated with that instructor.
get_instructor_scoreCalculate the score
The AI processes the raw data through the scoring logic to arrive at the final effectiveness metric.
get_instructor_scoreDeliver the result
The agent presents the final score in your chat interface for your review.
get_instructor_score
Try it
Copy these to start.
Use these prompts to get moving immediately.
Starting points
Replace the names in brackets with your actual instructor names or IDs.
Accelerator Instructor Effectiveness Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_VP4WeO1Ug12b05Xj97Rt2IBpKKfpPwDEj9AyjAVO/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Accelerator Instructor Effectiveness capabilities are ready to use.
{
"mcpServers": {
"accelerator-instructor-effectiveness-mcp": {
"url": "https://edge.vinkius.com/vk_preview_VP4WeO1Ug12b05Xj97Rt2IBpKKfpPwDEj9AyjAVO/mcp"
}
}
}What is the effectiveness score for instructor [Name]?
Get the performance score for [Instructor ID].
Compare the effectiveness scores of [Instructor A] and [Instructor B].
Show me the score for [Name] and tell me if it has changed recently.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Accelerator Instructor Effectiveness once, then ask.
Click the link to connect your data. Your credentials stay encrypted on our side, and the full walkthrough lives on the Connector page.
Connect Accelerator Instructor Effectiveness to your AIFAQ
How this task behaves
- 01
Can the AI change an instructor's score?
No. The AI can only read data and calculate scores based on existing records. It cannot edit or overwrite your original data.
- 02
Does the AI decide who to fire or promote?
No. The AI provides the metric, but all personnel decisions remain entirely with you.
- 03
What data does the AI use for the score?
It uses the specific instructor performance data available through the get_instructor_score tool.
- 04
Can I use this with Claude or Cursor?
Yes. You can use this with any MCP-compatible client like Claude, Cursor, or Windsurf.
- 05
Do I need to upload a CSV every time?
No. Once you connect the MCP, the AI accesses your data directly through the tool.
More questions about Accelerator Instructor Effectiveness? The Connector page answers them. See everything the Accelerator Instructor Effectiveness Connector can do
Connect Accelerator Instructor Effectiveness to Claude, Cursor, ChatGPT & more
