- SCORE
- PRECISION
- DATA
- HUMAN
Short answer
How do I calculate NPS scores with my AI?
Provide your AI with the number of promoters, passives, and detractors from your survey. It will output the final NPS score and the statistical margin of error. You get a clear view of your customer sentiment.
The results you get.
Calculated outputs.
The AI processes your raw counts into these specific values.
SCORE
Final NPS value
The AI calculates the net score by subtracting the percentage of detractors from promoters. You get a single number representing customer loyalty.
PRECISION
Margin of error
The AI determines the statistical confidence of your score. This tells you how much the result might fluctuate based on your sample size.
DATA
Raw count processing
The AI takes your specific counts of respondents in each category. It handles the math so you don't have to manually calculate percentages.
HUMAN
Strategic interpretation
The AI provides the numbers, but you decide what the score means for your product. You use the margin of error to decide if the score is stable enough to act on.
The workflow
What your AI does when the data arrives.
The AI performs the heavy lifting on your survey numbers.
Ingest counts
Your AI reads the number of promoters, passives, and detractors you provide from your survey tool.
calculate_npsCompute NPS
The AI applies the NPS formula to your specific respondent counts to find the net score.
calculate_npsCalculate error
The AI runs a statistical check to find the margin of error for your specific sample size.
calculate_npsFormat output
The AI presents the final score and the error range in a clear, readable format.
calculate_nps
Try it
Copy these to start.
Use these prompts to trigger the calculation immediately.
Starting points
Replace the numbers in these prompts with your actual survey results.
NPS Score Calculator Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_4LRFr5TB0QWNc8KoshVMzg90OFBdNYSk68t8uomU/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 — NPS Score Calculator capabilities are ready to use.
{
"mcpServers": {
"nps-score-calculator-mcp": {
"url": "https://edge.vinkius.com/vk_preview_4LRFr5TB0QWNc8KoshVMzg90OFBdNYSk68t8uomU/mcp"
}
}
}Calculate the NPS score using 50 promoters, 30 passives, and 20 detractors.
What is the NPS and margin of error for 100 promoters, 10 passives, and 5 detractors?
Run an NPS calculation for these counts: 200 promoters, 50 passives, 50 detractors.
Using my survey data of 40 promoters, 10 passives, and 5 detractors, give me the NPS and the statistical margin of error.
Claude
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VS Code
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Start here
Connect NPS Score Calculator once, then ask.
Click the link to connect the MCP to your client. Your credentials stay encrypted, and you can start asking for calculations right away.
Connect NPS Score Calculator to your AIFAQ
How the calculator behaves
- 01
Can the AI calculate NPS from a list of individual survey comments?
No. This tool requires the specific counts of promoters, passives, and detractors to function.
- 02
Does the AI change my original survey data?
No. The AI only reads the numbers you provide to perform math. It cannot write to or modify your survey platform.
- 03
Will the AI automatically pull data from my survey tool?
No. You must provide the counts to the AI in the chat or via a connected data source.
- 04
Can I get the margin of error for every calculation?
Yes. Every calculation performed with this tool includes the statistical margin of error.
- 05
Does the AI decide if my NPS score is 'good' or 'bad'?
No. The AI provides the mathematical score and the error margin. You are responsible for interpreting those results.
More questions about NPS Score Calculator? The Connector page answers them. See everything the NPS Score Calculator Connector can do
Connect NPS Score Calculator to Claude, Cursor, ChatGPT & more
