# Delighted MCP for AI Agents AI Agent Connect

> Delighted MCP. Connect your AI agent to Delighted by Qualtrics to track NPS, monitor customer feedback, and manage survey responses in real-time. Use it to identify promoters, filter out detractors, and pull individual feedback history directly into your chat.

## Overview
- **Category:** customer-support
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_063aTdAr3Ok8v2tcAPvbhJvHrHwVNciYRVTqPXHO/ai-agent-connect
- **Tags:** nps, customer-feedback, experience-management, sentiment-analysis, survey-responses, real-time-monitoring

## Description

Delighted is the Connector that connects your AI agent to the Delighted by Qualtrics platform. You can now ask your agent to pull up the latest feedback from a specific customer or summarize why people are unhappy with your pricing. Instead of digging through the Delighted dashboard, you just chat with your AI. It handles the heavy lifting of filtering out the noise so you can see the actual sentiment. This is why Vinkius is such a game changer for CX teams; it puts all your experience management data into one conversational flow. You can trigger surveys for new users or identify your biggest promoters without leaving your chat window. It's about moving from reactive data gathering to proactive customer listening. You don't have to wait for a weekly report to know if your latest update landed well. You can see it the second the data hits your account.

## Tools

### add_person_to_survey
Adds a new person to the system and schedules a survey invitation to be sent via the default channel.

### get_nps_metrics_summary
Returns real-time Net Promoter Score along with a breakdown of promoters, passives, and detractors.

### get_person_feedback_history
Resolves all previous survey responses, cumulative NPS contribution, and associated person attributes.

### get_response_details
Resolves customer details, specific survey channel, and the full text of the feedback comment.

### list_top_promoters
Identifies customers who provided a high NPS score of 9 or 10.

### list_survey_responses
Returns response metadata including score, comment, person identifier, and timestamp.

### search_responses_by_comment
Identifies survey responses where the text matches the provided search term.

### get_recent_customer_comments
Lists the most recent survey responses that include a text comment.

### list_recent_detractors
Identifies customers who provided a low NPS score between 0 and 6.

### list_feedback_contacts
Returns a list of people who have interacted with Delighted, including their email addresses and survey history.

## Prompt Examples

**Prompt:** 
```
What is our current NPS score?
```

**Response:** 
```
Your current NPS score is **58**. Here is the breakdown of recent responses:

| Category | Count |
| :--- | :--- |
| **Promoters** | 120 |
| **Passives** | 45 |
| **Detractors** | 15 |

Would you like to see the latest comments from the detractors?
```

**Prompt:** 
```
Show me the last 5 customer comments containing 'pricing'.
```

**Response:** 
```
I've found 5 recent comments regarding pricing:

* "Value is great for the price."
* "A bit expensive compared to competitors."
* "Pricing is confusing for small teams."
* "The new tier is too pricey."
* "Great value for the enterprise plan."

Should I pull the full text for any of these?
```

**Prompt:** 
```
Get the feedback history for 'user@example.com'.
```

**Response:** 
```
I've retrieved the history for **user@example.com**: 

* **Total Responses:** 3
* **Average Score:** 9.7
* **Recent Comments:** 
  * "Excellent support experience!" (Score: 10)
  * "Love the new UI." (Score: 10)
  * "A bit slow at first." (Score: 9)

Would you like to see their custom properties?
```

## Capabilities

### Fetch NPS summaries
Get your current Net Promoter Score and a breakdown of promoters, passives, and detractors.

### Filter for detractors
Instantly identify customers who gave you a low score so you can prioritize their issues.

### Search comments by keyword
Find specific feedback regarding pricing, bugs, or features by searching for keywords.

### Pull individual feedback history
See every response and piece of metadata for a specific customer in one view.

### Trigger new survey invitations
Add new people to your survey list and send out invitations directly through your agent.

## Use Cases

### Identifying a sudden drop in sentiment
A CX lead notices a dip in scores and asks their agent to list recent detractors to see if a specific bug is causing the issue.

### Prioritizing the product roadmap
A product manager asks the agent to search for comments containing 'pricing' to see if users feel the new tier is worth the cost.

### Personalizing support interactions
A support agent asks for the feedback history of a frustrated user to see their previous scores and comments before jumping in.

### Rapidly identifying brand advocates
A marketing manager asks the agent to list top promoters to find candidates for a new testimonial program.

## Benefits

- Stop hunting for unhappy customers by instantly filtering for detractors to see who needs help first.
- Get a clear picture of your brand health by pulling NPS summaries without leaving your agent window.
- Identify your biggest fans and power users quickly to fuel your referral or loyalty programs.
- Find specific feedback on new features by searching for keywords in customer comments in seconds.
- Speed up support tickets by pulling individual feedback history for every user before you reach out.
- Automate your survey outreach by triggering new survey invitations directly through your AI client.

## How It Works

The bottom line is you get instant access to customer sentiment without opening a single extra tab.

1. Grab your API key from your Delighted account settings.
2. Connect the Delighted MCP to your AI client via the Vinkius marketplace.
3. Ask your agent to summarize your latest NPS trends or find specific customer comments.

## Frequently Asked Questions

**Can the Delighted MCP help me find unhappy customers?**
Yes, it can. You can ask your agent to specifically identify customers who gave low scores so you can reach out to them immediately.

**How does Delighted MCP work with my AI agent?**
It connects your Delighted account to your AI client, allowing your agent to read survey responses and NPS metrics in real-time.

**Can I use Delighted MCP to send out new surveys?**
Yes, you can use it to add new people to your system and trigger survey invitations directly through your chat interface.

**Will Delighted MCP help me analyze specific feedback themes?**
Absolutely. You can ask your agent to search for specific keywords like 'bugs' or 'pricing' to see what people are saying about those topics.

**Can I see a specific user's history with Delighted MCP?**
Yes, you can pull up the full feedback history and metadata for any specific customer to get context before you contact them.

**Is Delighted MCP good for tracking NPS trends?**
It's perfect for that. It can pull your current NPS score and a full breakdown of promoters and detractors instantly.

**How do I get a Delighted API Key?**
Log in to your Delighted account, navigate to **Settings > API**, and you can retrieve your unique API Key from that section.

**Can I see real-time NPS updates?**
Yes, you can use the get_nps_metrics_summary tool to see the latest calculated score and breakdown of responses.

**Does the integration support multiple survey types?**
Yes, Delighted supports NPS, CSAT, CES, and other survey types. The agent will retrieve responses regardless of the survey methodology used in your account.