DXB Data

by renatocrt11

379 downloads

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GitHub Website

About

Official Dubai real estate data for AI agents, served over MCP.

Details

Author: renatocrt11
Downloads: 379
Categories: Search, Remote MCP

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 DXB Data

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": {
        "dxb data": {
            "dxb-data": {
                "url": "https://dxbdata.io/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "dxb data": {
            "dxb-data": {
                "url": "https://dxbdata.io/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "dxb data": {
            "dxb-data": {
                "url": "https://dxbdata.io/mcp"
            }
        }
    }
}

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": {
        "dxb data": {
            "dxb-data": {
                "url": "https://dxbdata.io/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "dxb data": {
            "dxb-data": {
                "url": "https://dxbdata.io/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "dxb data": {
            "dxb-data": {
                "url": "https://dxbdata.io/mcp"
            }
        }
    }
}

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": {
        "dxb data": {
            "dxb-data": {
                "url": "https://dxbdata.io/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "dxb data": {
            "dxb-data": {
                "url": "https://dxbdata.io/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "dxb data": {
            "dxb-data": {
                "url": "https://dxbdata.io/mcp"
            }
        }
    }
}

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": {
        "dxb data": {
            "dxb-data": {
                "url": "https://dxbdata.io/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "dxb data": {
            "dxb-data": {
                "url": "https://dxbdata.io/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "dxb data": {
            "dxb-data": {
                "url": "https://dxbdata.io/mcp"
            }
        }
    }
}

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": {
        "dxb data": {
            "dxb-data": {
                "url": "https://dxbdata.io/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "dxb data": {
            "dxb-data": {
                "url": "https://dxbdata.io/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "dxb data": {
            "dxb-data": {
                "url": "https://dxbdata.io/mcp"
            }
        }
    }
}

From the repository

Connect via a remote MCP server using the streamable HTTP transport at https://dxbdata.io/mcp. In Claude, add it as a custom connector under Settings → Connectors → Add custom connector, paste the URL, and save. Then ask questions like "Using DXB Data, what's the rental yield in Business Bay?" Seven tools are available: rental_yield, area_snapshot, market_overview, list_areas, rank_areas_by_yield, compare_areas, and affordability.

`list_areas`

List all Dubai areas (neighborhoods) available in the dataset. Use to discover valid area names.

`area_snapshot`

Price snapshot for residential property in a Dubai area from official DLD sale transactions: sample size, median sale price (AED), median price per m2, date range.

`rental_yield`

Gross rental yield for residential property in a Dubai area: median annual rent per m2, median sale price per m2, and gross yield %, from official DLD sale + rental (Ejari) data.

`market_overview`

Overall Dubai real estate snapshot: total transactions, areas, date range, median sale price (AED), top 5 areas by volume.

`rank_areas_by_yield`

Rank Dubai areas by gross rental yield (highest first), from official DLD sale + rental data. Great for finding the best-yielding neighbourhoods.

`compare_areas`

Compare 2-5 Dubai areas side by side: median sale price, price per m2, and gross rental yield.

`affordability`

Given a budget in AED, list Dubai areas where the median sale price fits (largest you can afford first).

Claude Desktop / Cursor

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

{
    "mcpServers": {
        "dxb data": {
            "dxb-data": {
                "url": "https://dxbdata.io/mcp"
            }
        }
    }
}

McpServers

{
    "dxb-data": {
        "url": "https://dxbdata.io/mcp"
    }
}

# DXB Data — MCP Server Official Dubai real estate data for AI agents, served over the **Model Context Protocol (MCP)**. DXB Data serves official Dubai Land Department (DLD) property data to AI agents: live sale prices, price per m², and gross rental yields for every Dubai area, auto-updated daily. Works with Claude and any MCP-compatible client. ## Connect Remote MCP server (streamable-http): ``` https://dxbdata.io/mcp ``` In Claude: **Settings → Connectors → Add custom connector**, paste the URL, save. Then ask: _"Using DXB Data, what's the rental yield in Business Bay?"_ ## Tools | Tool | Description | |---|---| | `rental_yield` | Gross rental yield for an area: annual rent/m², sale price/m², yield %. | | `area_snapshot` | Median sale price and price per m² for residential property in an area. | | `market_overview` | Total transactions, median price, and the most active areas right now. | | `list_areas` | Every Dubai area available, so agents always use valid names. | | `rank_areas_by_yield` | Ranks areas by gross rental yield. | | `compare_areas` | Side-by-side comparison of two or more areas. | | `affordability` | Affordability metrics for a given budget. | ## Links - Website: https://dxbdata.io - MCP Registry: https://registry.modelcontextprotocol.io/?q=dxb-data - Contact: hello@dxbdata.io Data source: Dubai Land Department (data.dubai). Derived analytics; official records via DLD open data. © 2026 DXB Data.

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DXB Data

About

Details

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Setting up with Highlight

Setting up with Cursor

JSON

JSON

JSON

Setting up with Claude Desktop

JSON

JSON

JSON

Setting up with Windsurf

JSON

JSON

JSON

Setting up with Cline

JSON

JSON

JSON

Setting up with Goose

JSON

JSON

JSON

From the repository

`list_areas`

`area_snapshot`

`rental_yield`

`market_overview`

`rank_areas_by_yield`

`compare_areas`

`affordability`

Claude Desktop / Cursor

McpServers

Install

About

Details

Jump to

Setting up with Highlight

From the repository

list_areas

area_snapshot

rental_yield

market_overview

rank_areas_by_yield

compare_areas

affordability

Claude Desktop / Cursor

McpServers

Install

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`list_areas`

`area_snapshot`

`rental_yield`

`market_overview`

`rank_areas_by_yield`

`compare_areas`

`affordability`