# Apartment Viewing Scorecard MCP. AI Agent Connect

> Apartment Viewing Scorecard MCP helps you make sense of rental data. It lets your AI client rank properties based on your specific priorities like rent, commute time, and room size. Instead of scrolling through endless tabs, you can run head-to-head comparisons and get realistic estimates for monthly utility costs to see the true price of a move.

## Overview
- **Category:** productivity
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_WztGSJhoKT4S17VFLjLWMWQbdblngfZbjyVajzAK/ai-agent-connect
- **Tags:** apartments, ranking, rent, commute, utilities

## Description

Finding the right place to live usually involves a messy spreadsheet or a dozen open browser tabs. This MCP changes that by turning your AI client into a specialized real estate analyst. You can feed it raw listing data and tell it exactly what matters to you. If you care more about a short commute than a large kitchen, the MCP will weight those factors accordingly to give you a clear winner.

You aren't just looking at rent prices. This tool helps you look at the actual usability of a space by evaluating room dimensions and predicting what your monthly utility bills might look like. It takes the guesswork out of the decision process by providing direct comparisons between your top choices. Whether you are moving across town or across the country, you can use these tools to strip away the marketing fluff and focus on the numbers that actually impact your daily life.

## Tools

### calculate_apartment_scores
This tool generates a ranked list of apartments based on your specific priorities. It uses custom weights for factors like rent, commute, and amenities to find your best match.

### compare_apartments
This tool performs a head-to-head comparison between two specific properties. It highlights the differences so you can see which one wins on your key metrics.

### evaluate_space_quality
This tool assesses how usable a living space actually is. It looks at physical room dimensions to determine the quality of the layout.

### get_utility_cost_estimates
This tool predicts your monthly expenses for specific utilities. It helps you see the hidden costs beyond the base rent.

## Prompt Examples

**Prompt:** 
```
Rank these apartments: [{id: '1', rent: 1500, commute: 20, space: 50, amenities: ['gym'], accessibility: ['elevator']}, {id: '2', rent: 1200, commute: 45, space: 40, amenities: [], accessibility: []}] with weights {rent: 0.4, commute: 0.3, space: 0.1, amenities: 0.1, accessibility: 0.1}
```

**Response:** 
```
Apartment 1 is the best choice with a total score of 0.85, despite the higher rent, due to its excellent commute and amenities.
```

**Prompt:** 
```
What are the estimated costs for electricity and internet?
```

**Response:** 
```
Electricity is estimated at $85 and internet at $60 per month.
```

**Prompt:** 
```
Compare apartment 1 and apartment 2.
```

**Response:** 
```
Apartment 1 is the winner because it offers significantly better accessibility and a much shorter commute.
```

## Capabilities

### Weighted Ranking
Your agent uses this to sort properties based on what you value most.

### Direct Comparison
Your agent compares two specific units to show clear pros and cons.

### Space Assessment
Your agent calculates room usability based on physical dimensions.

### Expense Prediction
Your agent estimates monthly utility costs for a specific unit.

## Use Cases

### Commute Optimization
You can weight commute time heavily to find the fastest route to work among several options.

### Budget Planning
You can add estimated utility costs to your rent calculations to see your real monthly outflow.

### Space Verification
You can check if a small studio actually meets your needs by evaluating its physical dimensions.

### Finalist Selection
You can run a head-to-head comparison between your top two choices to break a tie.

## Benefits

- Eliminates manual spreadsheet math by automating apartment scoring.
- Reveals true monthly costs by estimating utility expenses.
- Provides objective comparisons between competing rental listings.
- Translates physical room dimensions into usable quality scores.

## How It Works

Connecting this MCP to your AI client gives you immediate access to specialized rental analysis tools.

1. Connect the MCP to your client like Claude or Cursor via Vinkius.
2. Provide your AI agent with the details of the apartments you are viewing.
3. Tell your agent which factors like rent or commute are most important to you.
4. Review the ranked lists, comparisons, or cost estimates generated by the tools.

## Frequently Asked Questions

**How does the apartment scoring work?**
The scoring tool uses specific weights you assign to different categories like rent, commute, and amenities to rank your options.

**Can I compare two specific apartments?**
Yes, you can use the compare_apartments tool to perform a direct head-to-head analysis of two properties.

**Does this tool estimate utility bills?**
Yes, the get_utility_cost_estimates tool provides expected monthly costs for specific utility types.

**What clients can I use this MCP with?**
You can use this MCP with any compatible client, including Claude, Cursor, Windsurf, and VS Code.

**How does it evaluate room quality?**
The evaluate_space_quality tool looks at the physical dimensions of the rooms to determine how usable the space is.

**How do I rank my apartment options?**
Use the `calculate_apartment_scores` tool. Provide your list of apartments and a weights object defining how much you value rent, commute, space, amenities, and accessibility.

**Can I estimate utility costs?**
Yes, the `get_utility_cost_estimates` tool provides expected monthly costs for common utilities like electricity, water, and internet.

**How is the space quality determined?**
The `evaluate_space_quality` tool calculates a usability score based on the width and length of the rooms provided.