# Review Average Calculator AI Agent Connect

> Review Average Calculator MCP gives your AI client the math tools needed to process user sentiment. Instead of guessing how customers feel, you can use this MCP to run weighted averages, check rating distributions, and filter feedback by specific dates to see how your scores change over time.

## Overview
- **Category:** analytics
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_NP1wYTthhfgzfhE8GdNsVzM3uoKFzicKw4u2YWZ8/ai-agent-connect
- **Tags:** reviews, averages, statistics, feedback, data-analysis

## Description

You can stop manually calculating means and distributions from messy feedback logs. This MCP gives your AI agent the specific statistical tools it needs to parse through review datasets. If you have a list of scores, your agent can find the arithmetic mean instantly. If certain reviews carry more weight due to customer tier or length, you can run a weighted average to get a more accurate picture of sentiment. You can also isolate specific time periods to see if recent changes to your product are actually moving the needle. It handles the math so you can focus on the trends. Whether you are looking at a single product's performance or a massive dataset of user comments, this MCP provides the precision you need to back up your decisions with hard numbers.

## Tools

### calculate_weighted_average
This tool calculates the weighted mean of your reviews. It's useful when you need to prioritize certain scores over others.

### filter_reviews_by_date
This tool isolates feedback within a specific timeframe. Use it to see how ratings look for a specific month or quarter.

### get_rating_distribution
This tool shows how ratings are spread across the scale. It helps you see if your feedback is clustered at the top or scattered.

### calculate_simple_average
This tool finds the arithmetic mean of a list of scores. It's the quickest way to get a baseline average.

## Prompt Examples

**Prompt:** 
```
What is the average of these scores: 4, 5, 3, 5, 2?
```

**Response:** 
```
The average score is 3.8.
```

**Prompt:** 
```
Calculate the weighted average for a score of 5 with weight 2 and a score of 3 with weight 1.
```

**Response:** 
```
The weighted average is 4.33.
```

**Prompt:** 
```
Show me the distribution for scores 1, 5, 5, 4, 2.
```

**Response:** 
```
The distribution is: 1: 1, 2: 1, 3: 0, 4: 1, 5: 2.
```

## Capabilities

### Weighted Sentiment Analysis
Your agent uses this to adjust averages based on review importance.

### Temporal Feedback Filtering
Your agent uses this to pull metrics from specific date ranges.

### Rating Spread Visualization
Your agent uses this to identify how many users gave specific scores.

### Basic Mean Calculation
Your agent uses this to quickly find the center of a score set.

## Use Cases

### Post-Launch Monitoring
Compare the average rating of a new feature against the baseline using date filtering.

### Customer Tier Analysis
Apply weights to reviews so that enterprise user feedback carries more influence in the average.

### Sentiment Trend Detection
Use rating distributions to see if negative reviews are increasing in frequency.

### Quick Score Audits
Get an instant arithmetic mean for a small batch of recent scores.

## Benefits

- Removes manual math errors from feedback analysis.
- Allows for time-based comparisons of user sentiment.
- Provides a clear view of rating clusters through distribution data.
- Enables weighted scoring to reflect review significance.

## How It Works

Connect the MCP to your client and let your agent handle the math.

1. Connect the MCP to your preferred client like Claude or Cursor via Vinkius.
2. Provide your agent with a list of scores or review data.
3. Ask your agent to perform a specific calculation or filter.
4. The agent invokes the corresponding tool to process the data.
5. Your agent delivers the final statistical result to you.

## Frequently Asked Questions

**How do I use this MCP with Claude?**
You connect to the MCP through the Vinkius platform. Once connected, your agent in Claude can automatically call the calculation tools when you ask for them.

**Can I calculate averages for specific dates?**
Yes. You can use the filter_reviews_by_date tool to isolate feedback within a timeframe before calculating the average.

**What is the difference between simple and weighted averages here?**
The simple average treats all scores equally. The weighted average allows you to assign different levels of importance to specific reviews.

**Do I need to host this myself?**
No. Vinkius hosts and manages the MCP for you. You just connect your client and start working.

**Can this tool show me how many 5-star reviews I have?**
Yes. The get_rating_distribution tool provides a breakdown of how many reviews fall into each rating category.

**How do I calculate a simple mean?**
Use the `calculate_simple_average` tool by providing an array of numerical scores.

**Can I weight certain reviews more heavily?**
Yes, use `calculate_weighted_average` to assign specific weights to individual reviews.

**How can I see the rating spread?**
The `get_rating_distribution` tool provides a count of reviews for every rating level.