Property Comparable Sales

by Tianning-lab

321 downloads

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GitHub

About

Real estate comparable sales data across 11 global markets. 44M+ government-sourced transactions. Search comps, get area statistics, and list markets via three MCP tools.

Details

Author: Tianning-lab
Downloads: 321
Categories: Database, Other, API

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Property Comparable Sales

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "property comparable sales": {
            "property-comps": {
                "command": "python",
                "args": [
                    "mcp_server.py"
                ],
                "env": {
                    "API_BASE_URL": "https://api.nwc-advisory.com"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "property comparable sales": {
            "property-comps": {
                "command": "python",
                "args": [
                    "mcp_server.py"
                ],
                "env": {
                    "API_BASE_URL": "https://api.nwc-advisory.com"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "property comparable sales": {
            "property-comps": {
                "command": "python",
                "args": [
                    "mcp_server.py"
                ],
                "env": {
                    "API_BASE_URL": "https://api.nwc-advisory.com"
                }
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "property comparable sales": {
            "property-comps": {
                "command": "python",
                "args": [
                    "mcp_server.py"
                ],
                "env": {
                    "API_BASE_URL": "https://api.nwc-advisory.com"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "property comparable sales": {
            "property-comps": {
                "command": "python",
                "args": [
                    "mcp_server.py"
                ],
                "env": {
                    "API_BASE_URL": "https://api.nwc-advisory.com"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "property comparable sales": {
            "property-comps": {
                "command": "python",
                "args": [
                    "mcp_server.py"
                ],
                "env": {
                    "API_BASE_URL": "https://api.nwc-advisory.com"
                }
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "property comparable sales": {
            "property-comps": {
                "command": "python",
                "args": [
                    "mcp_server.py"
                ],
                "env": {
                    "API_BASE_URL": "https://api.nwc-advisory.com"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "property comparable sales": {
            "property-comps": {
                "command": "python",
                "args": [
                    "mcp_server.py"
                ],
                "env": {
                    "API_BASE_URL": "https://api.nwc-advisory.com"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "property comparable sales": {
            "property-comps": {
                "command": "python",
                "args": [
                    "mcp_server.py"
                ],
                "env": {
                    "API_BASE_URL": "https://api.nwc-advisory.com"
                }
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "property comparable sales": {
            "property-comps": {
                "command": "python",
                "args": [
                    "mcp_server.py"
                ],
                "env": {
                    "API_BASE_URL": "https://api.nwc-advisory.com"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "property comparable sales": {
            "property-comps": {
                "command": "python",
                "args": [
                    "mcp_server.py"
                ],
                "env": {
                    "API_BASE_URL": "https://api.nwc-advisory.com"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "property comparable sales": {
            "property-comps": {
                "command": "python",
                "args": [
                    "mcp_server.py"
                ],
                "env": {
                    "API_BASE_URL": "https://api.nwc-advisory.com"
                }
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "property comparable sales": {
            "property-comps": {
                "command": "python",
                "args": [
                    "mcp_server.py"
                ],
                "env": {
                    "API_BASE_URL": "https://api.nwc-advisory.com"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "property comparable sales": {
            "property-comps": {
                "command": "python",
                "args": [
                    "mcp_server.py"
                ],
                "env": {
                    "API_BASE_URL": "https://api.nwc-advisory.com"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "property comparable sales": {
            "property-comps": {
                "command": "python",
                "args": [
                    "mcp_server.py"
                ],
                "env": {
                    "API_BASE_URL": "https://api.nwc-advisory.com"
                }
            }
        }
    }
}

From the repository

Invoke the server through its three tools: search_property_comps (find recent sales near a location), get_area_stats (median price, transaction volume, trends), and list_markets (all supported markets with metadata). For example, ask: “What did 3‑bedroom flats sell for near London SW1A in the last 12 months?”

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "property comparable sales": {
            "property-comps": {
                "command": "python",
                "args": [
                    "mcp_server.py"
                ],
                "env": {
                    "API_BASE_URL": "https://api.nwc-advisory.com"
                }
            }
        }
    }
}

McpServers

{
    "property-comps": {
        "command": "python",
        "args": [
            "mcp_server.py"
        ],
        "env": {
            "API_BASE_URL": "https://api.nwc-advisory.com"
        }
    }
}

Property comparable sales data across 11 global markets (UK, France, NYC, Singapore, Dubai + 6 more). 4.2M+ government-sourced transactions.

An MCP (Model Context Protocol) server that gives AI agents access to comparable sales data and property transactions across 16 markets in 6 countries. 43M+ records sourced from government open data registries -- not estimates, not listings.

Works with Claude Desktop, Claude Code, and any MCP-compatible AI client.

Built byNew Way Capital Advisory|API Docs|Portfolio X-Ray

- "What are comparable sales near 10001 in NYC?"
- "What's the median property price in Dubai Marina?"
- "Show me recent sales near SW1A1DA in London"
- "Compare Seattle vs Phoenix house prices"
- "What sold near 80202 in Denver last 6 months?"

The server queries official government property registries and returns real transaction data — not estimates.

Add to yourclaude_desktop_config.json:

{ "mcpServers": { "property-comps": { "command": "python", "args": ["path/to/mcp_server.py"] } } }

On macOS:~/Library/Application Support/Claude/claude_desktop_config.jsonOn Windows:%APPDATA%\Claude\claude_desktop_config.json

claude mcp add property-comps python /path/to/mcp_server.py

The server auto-detects the market from your location format:

You can also specify the market explicitly:market="uk",market="nyc", etc.

User:"What are recent property sales near 10001 in NYC?"

New York City - 42 comparable sales found near 10001 Statistics: Median: USD 515,000 | Average: USD 892,000 | Range: USD 185,000 - USD 3,200,000 1. USD 515,000 | 2025-12-23 | Condo | 123 W 23rd St, Manhattan 2. USD 1,250,000 | 2025-11-15 | Condo | 45 W 25th St, Manhattan 3. USD 375,000 | 2025-10-30 | 1-Family | 310 E 23rd St, Manhattan Data source: New York City government property registry

All comparable sales data comes from official government open data registries. Updated monthly. Every result is an actual recorded property transaction — not an estimate, not a listing price. The same government sources that banks and surveyors rely on for valuations.

Don't need MCP? The same comparable sales data is available as a standard REST API onRapidAPI, listed under"Property Comps API"in the Real Estate category.

- RapidAPI Listing:Property Comparable Sales API
- 4 pricing tiers:Free (50 req/mo), Pro ($29), Ultra ($99), Mega ($299)
- No API key needed for MCP— the MCP server connects directly to the backend

This MCP server connects to the Property Comps API. The same API powers the RapidAPI listing and all 16 market-specific web apps.

- API Documentation:https://api.nwc-advisory.com/docs
- OpenAPI Spec:https://api.nwc-advisory.com/openapi.json
- RapidAPI Marketplace:Property Comparable Sales API
- All Markets:https://api.nwc-advisory.com/markets

The 10 US cities are also available through a single unified interface at property-us.nwc-advisory.com-- one login, one search across NYC, Chicago, Miami, Philadelphia, DC, Seattle, Phoenix, Denver, Pittsburgh, and Connecticut.

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Property Comparable Sales

About

Details

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Setting up with Highlight

Setting up with Cursor

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Setting up with Claude Desktop

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Setting up with Windsurf

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Setting up with Cline

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Setting up with Goose

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From the repository

Claude Desktop / Cursor

McpServers

Zillapi — Zillow Property Data MCP Server

Install

About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

Zillapi — Zillow Property Data MCP Server

Install

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