# Repliers MCP

> Repliers connects your AI agent directly to real estate market data. This MCP lets you audit properties, run deep neighborhood analyses, and track current listing statistics without visiting a portal. You can ask your agent to search thousands of active listings or pull historical pricing trends across entire cities, making complex market research feel like a simple conversation.

## Overview
- **Category:** real-estate
- **Price:** Free
- **Tags:** mls-data, property-listings, real-estate-tech, neighborhood-stats, data-api

## Description

Your AI agent handles all the hard parts of real estate research using this MCP. Instead of spending hours on property portals and copying data into spreadsheets, you just ask your agent what you need. It talks to live listing databases, pulling everything from basic metadata—like price and bedroom count—to complex neighborhood statistics. Whether you're tracking market trends for an investment fund or vetting a potential new home, the process is instant. You don't have to worry about whether the data is current; your agent always pulls real-time information. This capability means that whether you use it with Claude, Cursor, or any other compatible client through Vinkius, you get a unified, powerful research tool that works right where you are working.

## Tools

### check_api_status
Confirms if the Repliers data source is currently online and ready to receive queries.

### get_listing_details
Pulls every piece of information available for a specific property using its unique MLS number.

### get_listing_statistics
Retrieves current market trends and aggregated data points across general listing groups or cities.

### search_by_city
Searches for all available listings within the boundaries of a specified city.

### search_listings
Performs flexible searches across the entire database, allowing you to apply multiple filters at once.

### search_by_neighborhood
Narrows down property searches specifically to a defined local area or neighborhood within a city.

## Prompt Examples

**Prompt:** 
```
Search for houses in 'Toronto' under $1,000,000 using Repliers.
```

**Response:** 
```
I've retrieved several listings in Toronto within your budget. Notable options include a 3-bedroom detached house and a modern semi-detached. Would you like the full details for the top matches?
```

**Prompt:** 
```
Show listings in the 'Liberty Village' neighborhood.
```

**Response:** 
```
I've identified 15 active listings in Liberty Village. Most are modern condos with lake views. I can provide the square footage and amenity metadata for each if you'd like.
```

**Prompt:** 
```
Get real estate statistics for 'Vancouver'.
```

**Response:** 
```
I've retrieved the market stats for Vancouver. The median list price is currently $1.2M and average days on market is 20. I can assist you with more city-wide trend auditing if needed.
```

## Capabilities

### Search for properties in specific areas
You can ask the agent to search listings filtered by an entire city or just a single neighborhood.

### Get full property records
The system retrieves all detailed information about a specific listing using its unique MLS number.

### Audit market trends
You pull current statistical data for an area, seeing things like average list prices and inventory levels across multiple cities.

### Check connection status
The agent confirms the API is operational before starting a major research job.

## Use Cases

### Vetting an Investment Target
An investor needs to know if a property in North Miami is worth buying. They ask their agent to use `get_listing_details` on the MLS number, then follow up by using `search_by_neighborhood` to check for comparable sales nearby and audit the overall market health.

### Assisting a First-Time Home Buyer
A buyer is overwhelmed. They ask their agent to use `search_listings` with filters like '3 bedrooms' and 'under $600k' in their county, allowing them to see multiple options without having to adjust web forms.

### Competitive Market Analysis
A brokerage needs city-wide data. They prompt the agent to use `get_listing_statistics` for 'Austin' and compare it with a second query for 'Dallas,' generating an instant report on median price shifts.

### Confirming Data Availability
Before building a massive research pipeline, the operations lead uses `check_api_status` to verify that Repliers is fully connected and ready to handle thousands of data points for the quarter's audit.

## Benefits

- Instant Market Audits: Instead of manually checking dozens of listings, use `get_listing_statistics` to query real-time pricing trends and inventory levels across entire cities with one prompt.
- Deep Dive on Specific Properties: Need all the facts on a single house? The `get_listing_details` tool retrieves every piece of metadata for a given MLS number instantly, eliminating manual data lookups.
- Hyper-Local Search: Stop scrolling through irrelevant listings. Use `search_by_neighborhood` to focus your search immediately on specific local areas that matter to the client.
- Flexible Filtering: When you're unsure what criteria to use, `search_listings` lets your agent handle complex filtering across multiple parameters (like price range and bed count) in a single query.
- Always Operational: Use `check_api_status` at the start of a big project. This ensures your entire research workflow is functional before you waste time running queries against a downed system.

## How It Works

The bottom line is you talk to your AI client, and it handles all the complex queries against massive real estate datasets for you.

1. First, subscribe to this MCP and enter your Repliers API Key.
2. Next, connect it to your preferred AI client (like Cursor or Claude).
3. Finally, ask your agent a natural language question—for example, 'What are the top 3 listings in Miami under $800k?'—and get the data instantly.

## Frequently Asked Questions

**Can Repliers MCP help me find listings by specific filters?**
Yes, absolutely. Use the `search_listings` tool to apply multiple criteria at once, letting your agent filter results based on price, bed count, and status.

**How do I audit a single property with Repliers MCP?**
You use the `get_listing_details` function. You just provide the MLS number, and it pulls every piece of metadata available for that specific listing.

**Is Repliers MCP better than searching manually?**
Yes. Manual searches are limited by web UI design; this MCP connects directly to live data feeds, allowing your agent to pull structured statistics and run complex queries far beyond what a normal website search provides.

**What if I only want to look in one city?**
Use the `search_by_city` tool. This function restricts all results immediately to listings located within your chosen municipal boundaries, saving you time.