# Local Experience Feedback Planner AI Agent Connect

> Local Experience Feedback Planner MCP converts your raw notes about local services into structured, professional feedback. It uses a facts-only approach to ensure your messages remain objective and respect your privacy by minimizing personal disclosure.

## Overview
- **Category:** productivity
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_rUbVlE2dAYWh7Ohb2nSpOh145B7Nk9HhZRDgrUXF/ai-agent-connect
- **Tags:** feedback, privacy, structured-data, local-experiences, constructive

## Description

You shouldn't have to struggle with wording a complaint or a compliment after a disappointing or excellent local experience. This MCP acts as a logic engine that takes your raw, unfiltered thoughts and refines them into a structured plan. It follows a strict facts-only principle, meaning it strips away emotional clutter to focus on what actually happened. This ensures your feedback is harder to dismiss and keeps your personal details to a minimum. Whether you're dealing with a late tour guide or a cold meal at a cafe, your AI client uses this MCP to verify your evidence, pick the right channel for delivery, and even help you decide if you should ever give that business your time again.

## Tools

### analyze_experience_observations
This tool converts your raw notes into a structured set of factual observations and a clear, constructive message.

### determine_submission_strategy
This tool identifies the most effective way to send your feedback based on how the organizer operates and your booking details.

### evaluate_participation_outlook
This tool helps you decide whether or not to engage with similar experiences from this provider in the future.

### verify_evidence_validity
This tool checks if your collected observations provide enough factual support to back up your feedback.

## Prompt Examples

**Prompt:** 
```
I went to a cafe. The coffee was cold and it took 25 minutes to arrive, even though I was promised 5 minutes. I wanted a quick breakfast. I don't want them to have my email.
```

**Response:** 
```
Constructive Message: The coffee was served at a low temperature, and the wait time was 25 minutes despite a 5-minute expectation. 
Evidence Checklist: [Coffee temperature, 25-minute wait time, 5-minute promise] 
Submission Action: Use the cafe's digital feedback portal. 
Response-Review Plan: Monitor the portal for a response within 3 business days. 
Future Participation: Caution.
```

**Prompt:** 
```
The guided tour was great, but the guide arrived 15 minutes late. I wanted a punctual start. I am happy to share my booking details.
```

**Response:** 
```
Constructive Message: The tour guide arrived 15 minutes after the scheduled start time. 
Evidence Checklist: [15-minute delay] 
Submission Action: Contact the organizer via their official email. 
Response-Review Plan: Check for an email acknowledgment within 48 hours. 
Future Participation: Proceed.
```

**Prompt:** 
```
The hotel room was not cleaned by 3 PM as promised. I wanted a clean room upon arrival. I am very upset and don't want to talk to them.
```

**Response:** 
```
Constructive Message: The room was not cleaned by the promised time of 3 PM. 
Evidence Checklist: [Room not cleaned by 3 PM] 
Submission Action: Submit an anonymous message through the booking platform. 
Response-Review Plan: Review the platform's resolution status. 
Future Participation: Avoid.
```

## Capabilities

### Fact-Based Refinement
Your agent uses this to strip emotional bias from your raw notes.

### Privacy Protection
The MCP applies minimum-disclosure rules to keep your personal data out of the feedback.

### Evidence Verification
Your AI client checks if your claims are actually supported by the facts you provided.

### Delivery Strategy
The tool selects the best communication channel based on the specific organizer's setup.

### Future Engagement Logic
It calculates whether you should return to a service based on the experience quality.

## Use Cases

### Restaurant Complaints
Turn a frustrating meal experience into a factual report about wait times and food temperature.

### Tour and Activity Reviews
Report punctuality issues or guide performance using specific, documented evidence.

### Hotel Service Feedback
Communicate room readiness or cleanliness issues through the correct booking channels.

### Decision Support
Use the participation outlook to decide if a specific vendor is worth your money in the future.

## Benefits

- Removes emotional volatility from your written feedback.
- Reduces the risk of over-sharing personal information.
- Ensures your complaints are backed by verifiable facts.
- Provides a clear plan for how to actually send the message.

## How It Works

Connect your client to Vinkius and start feeding it your raw notes.

1. Connect your MCP-compatible client like Claude or Cursor to Vinkius.
2. Input your raw, unfiltered observations about a local experience.
3. The MCP processes the data into a structured, factual plan.
4. Your agent provides you with the final message, evidence list, and submission strategy.

## Frequently Asked Questions

**How does this MCP protect my privacy?**
It follows Minimum-Disclosure rules to ensure your feedback stays professional and doesn't include more personal information than necessary.

**Can I use this with Claude or Cursor?**
Yes, this MCP works with any MCP-compatible client including Claude, Cursor, and Windsurf.

**What makes the feedback 'constructive'?**
The MCP uses a Facts-Only Principle to strip away emotional language, focusing instead on specific, verifiable observations.

**Do I need to host this myself?**
No, Vinkius hosts and manages the MCP for you. You just connect and use it.

**Will it tell me how to send my complaint?**
Yes, the determine_submission_strategy tool identifies the best way to deliver your feedback based on the organizer's specific channels.

**How does this tool ensure my privacy?**
The system applies Minimum-Disclosure rules and cross-references all observations against your specified `privacyBoundaries` to ensure no sensitive data is included in the final feedback.

**What is the 'Facts-Only Principle'?**
It is a core rule that ensures feedback is derived only from observable events rather than emotional judgments, making the feedback more professional and effective.

**Can I use this for high-end services?**
Yes. The engine uses EXPERIENCE_TIERS to adjust the depth of evidence required and the strictness of privacy rules based on whether the experience is Casual, Standard, or Premium.
