Property Prices MCP
P

Property Prices MCP

A property price query server based on the MCP protocol. By connecting to the SPARQL endpoint of the UK Land Registry, it provides the function of searching property prices by postcode or a combination of street/city, supporting multiple filtering conditions and sorting methods.
2 points
7.0K

What is the Property Price Search MCP Server?

The Property Price Search MCP Server is a tool for searching UK house prices. It retrieves data by connecting to the public SPARQL endpoint of HM Land Registry. You can search by postcode, street name, or city name and set filtering conditions such as price range, property type, and date range.

How to use the Property Price Search MCP Server?

You can use this server through the command - line interface or programming interface. Simply enter your query conditions (such as postcode, price range, etc.), and the server will return the house sales records that meet the conditions.

Applicable Scenarios

Suitable for real - estate researchers, investors, and those who need to quickly find housing price information in specific areas.

Main Features

Search by PostcodeSupports searching for house sales records in an area by entering a UK postcode.
Multi - dimensional FilteringAllows users to filter the results based on multiple dimensions such as price range, property type, and date range.
Automatic Case ConversionRegardless of whether the street name or city name you enter is in uppercase or not, the system will automatically adjust it to uppercase format to ensure accurate queries.
Flexible Sorting and PaginationSupports sorting by price or date and enables paginated queries by setting offset and limit.

Advantages and Limitations

Advantages
Connects to the authoritative HM Land Registry database to ensure data reliability.
Supports multiple filtering conditions to meet diverse needs.
Provides a standardized API interface for easy integration into other applications.
Free and open - source, with an active community and easy to extend functionality.
Limitations
Relies on an external SPARQL endpoint and may not work properly when the network is interrupted.
Data in some areas may not be comprehensive, especially in remote areas.
There may be performance bottlenecks for large - scale concurrent requests.

How to Use

Install the Server
First, ensure that Node.js v18 or a higher version is installed. Then run the following command to globally install the server: ```bash npm install -g property - prices - mcp ```
Start the Server
Execute the following command in the project directory to start the server: ```bash npm run dev ```
Initiate a Query
You can use the command - line tool or API interface to initiate a query. For example: ```bash property - prices - mcp --postcode SW1A 1AA --minPrice 1000000 ```

Usage Examples

Example 1: Find the prices of high - end apartments in central LondonQuery the prices of high - end apartments in the SW1A 1AA area of central London.
Example 2: Analyze the housing price trend in a specific city over a certain periodAnalyze the housing price change trend in a certain city, such as the price fluctuations from 2020 to 2023.

Frequently Asked Questions

Why is the result of my query empty?
How to improve query efficiency?
Does it support multi - language interfaces?

Related Resources

Official Documentation
Detailed server usage guide and technical details.
GitHub Repository
Source code repository. Contributions are welcome.
SPARQL Tutorial
Understand the basics of SPARQL.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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